Abelson, R. P. (1959). Modes of resolution of belief dilemmas. Journal of Conflict Resolution, vol. 3, pp. 343–352.CrossRefGoogle Scholar

Abelson, R. P.. (1983). Whatever became of consistency theory?Personality and Social Psychology Bulletin, vol. 9, pp. 37–54.CrossRefGoogle Scholar

Abelson, R. P., Aronson, E., McGuire, W. J., Newcomb, T. M., Rosenberg, M. J., & Tannenbaum, P. H. (Eds.). (1968). Theories of cognitive consistency: A sourcebook. Chicago, IL: Rand McNally.

Abelson, R. P., & Rosenberg, M. J. (1958). Symbolic psycho-logic: A model of attitudinal cognition. Behavioral Science, vol. 3, pp. 1–13.CrossRefGoogle Scholar

Adamson, R. E. (1952). Functional fixedness as related to problem solving: A repetition of three experiments. Journal of Experimental Psychology, vol. 44, pp. 288–291.CrossRefGoogle ScholarPubMed

Afshar, S. S., Flores, E., McDonald, K. F., & Knoesel, E. (2007). Paradox in wave-particle duality. Foundations of Physics, vol. 37, pp. 295–305.CrossRefGoogle Scholar

Alberdi, E., Sleeman, D. H., & Korpi, M. (2000). Accommodating surprise in taxonomic tasks: The role of expertise. Cognitive Science, vol. 24, pp. 53–91.CrossRefGoogle Scholar

Allport, G. W. (1958/1979). The nature of prejudice (2nd ed.). Reading, MA: Addison-Wesley.Google Scholar

Allwood, C. (1984). Error detection processes in statistical problem solving. Cognitive Science, vol. 8, pp. 413–437.CrossRefGoogle Scholar

Allwood, C. M., & Montgomery, H. (1982). Detection of errors in statistical problem solving. Scandinavian Journal of Psychology, vol. 23, pp. 131–139.CrossRefGoogle Scholar

Altmann, E. M., & Burns, B. D. (2005). Streak biases in decision making: Data and a memory model. Cognitive Systems Research, vol. 6, pp. 5–16.CrossRefGoogle Scholar

Altmann, E. M., & Trafton, J. G. (2002). Memory for goals: An activation–based model. Cognitive Science, vol. 26, pp. 39–83.CrossRefGoogle Scholar

Alty, J. L. (1995). Navigating through compositional space: The creativity corridor. Leonardo, vol. 28, pp. 215–219.CrossRefGoogle Scholar

Alvarez, J. E., & Emory, E. (2006). Executive function and the frontal lobes: A meta-analytic review. Neuropsychology Review, vol. 16, pp. 17–42.CrossRefGoogle ScholarPubMed

Alvarez, W. (1998). T. rex and the crater of doom. New York: Vintage Books.Google Scholar

Amalberti, R. (2001). The paradoxes of almost totally safe transportation systems. Safety Science, vol. 37, pp. 109–126.CrossRefGoogle Scholar

Amir, E., & Maynard-Zhang, P. (2004). Logic-based subsumption architecture. Artificial Intelligence, vol. 153, pp. 167–237.CrossRefGoogle Scholar

Amundsen, R. (1989). The trials and tribulations of selectionist explanations. In Hahlweg, K. & Hooker, C. A. (Eds.), Issues in evolutionary epistemology (pp. 413–432). Albany: State University of New York Press.Google Scholar

Anderson, J. R. (1976). Language, memory, and thought. Hillsdale, NJ: Erlbaum.Google Scholar

Anderson, J. R. (1982). Acquisition of cognitive skill. Psychological Review, vol. 89, pp. 369–406.CrossRefGoogle Scholar

Anderson, J. R. (1983). The architecture of cognition. Cambridge, MA: Harvard University Press.Google Scholar

Anderson, J. R. (1984). Spreading activation. In Anderson, J. R. & Kosslyn, S. M. (Eds.), Tutorials in learning and memory (pp. 61–90). San Francisco, CA: W. H. Freeman.Google Scholar

Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem solutions. Psychological Review, vol. 94, pp. 192–210.CrossRefGoogle Scholar

Anderson, J. R. (1989). A rational analysis of human memory. In Roediger, H. L. & Craik, F. I. M. (Eds.), Varieties of memory and consciousness: Essays in honour of Endel Tulving (pp. 195–210). Hillsdale, NJ: Erlbaum.Google Scholar

Anderson, J. R. (1990). The adaptive character of thought. Hillsdale, NJ: Erlbaum.Google Scholar

Anderson, J. R. (1993). Rules of the mind. Hillsdale, NJ: Erlbaum.Google Scholar

Anderson, J. R. (2002). Spanning seven orders of magnitude: A challenge for cognitive modeling. Cognitive Science, vol. 26, pp. 85–112.CrossRefGoogle Scholar

Anderson, J. R. (2004). Cognitive psychology and its implications (6th ed.). New York: Worth.Google Scholar

Anderson, J. R. (2005). Human symbol manipulation within an integrated cognitive architecture. Cognitive Science, vol. 29, pp. 313–341.CrossRefGoogle ScholarPubMed

Anderson, J. R. (2007). How can the human mind occur in the physical universe?New York: Oxford University Press.CrossRefGoogle Scholar

Anderson, J. R., & Bower, G. H. (1973). Human associative memory. Washington, DC: Winston.Google Scholar

Anderson, J. R., & Jeffries, R. (1985). Novice LISP errors: Undetected losses of information from working memory. Human-Computer Interaction, vol. 1, pp. 107–131.CrossRefGoogle Scholar

Anderson, J. R., Kline, P., & Beasley, C. M. (1978, February). A theory of the acquisition of cognitive skills (Technical Report 77–1). New Haven, CT: Yale University.Google Scholar

Anderson, J. R., Kline, P. J., & Beasley, C. M. (1979). A general learning theory and its application to schema abstraction. In Bower, G. H. (Ed.), The psychology of learning and motivation: Advances in research and theory (vol. 13, pp. 277–318). New York: Academic Press.Google Scholar

Anderson, J. R., Kushmerick, N., & Lebiere, C. (1993). The Tower of Hanoi and goal structures. In Anderson, J. R. (Ed.), Rules of the mind (pp. 121–142). Hillsdale, NJ: Erlbaum.Google Scholar

Anderson, J. R., & Lebiere, C. (Eds.). (1998). The atomic components of thought. Mahwah, NJ: Erlbaum.

Anderson, J. R., & Pirolli, P. L. (1984). Spread of activation. Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 10, pp. 791–798.Google Scholar

Anderson, J. R., & Schooler, L. J. (1991). Reflections of the environment in memory. Psychological Science, vol. 2, pp. 396–408.CrossRefGoogle Scholar

Anderson, J. R., . (2000). The adaptive nature of memory. In Tulving, E. & Craik, F. I. M. (Eds.), The Oxford handbook of memory (pp. 557–570). New York: Oxford University Press.Google Scholar

Anderson, M. L. (2003). Embodied cognition: A field guide. Artificial Intelligence, vol. 149, pp. 91–130.CrossRefGoogle Scholar

Anderson, R. C. (1967). Educational psychology. Annual Review of Psychology, vol. 18, pp. 129–164.CrossRefGoogle ScholarPubMed

Anderson, S. R. (2004). Doctor Dolittle's delusion: Animals and the uniqueness of human language. New Haven, CT: Yale University Press.Google Scholar

Anzai, Y., & Simon, H. A. (1979). The theory of learning by doing. Psychological Review, vol. 86, pp. 124–140.CrossRefGoogle ScholarPubMed

Arnauld, A., & Nicole, P. (1662/1996). Logic or the art of thinking: Containing, besides common rules, several new observations appropriate for forming judgments (Buroker, J. V., Trans.). Cambridge, UK: Cambridge University Press.Google Scholar

Aronson, E. (1997). Back to the future: Retrospective review of Leon Festinger's “A theory of cognitive dissonance.”American Journal of Psychology, vol. 110, pp. 127–137.CrossRefGoogle Scholar

Ash, M. G. (1995). Gestalt psychology in German culture, 1890–1967: Holism and the quest for objectivity. Cambridge, UK: Cambridge University Press.Google Scholar

Ashby, F. G., & Maddox, W. T. (2005). Human category learning. Annual Review of Psychology, vol. 56, pp. 149–178.CrossRefGoogle ScholarPubMed

Ashton, D. (1972). Picasso on art: A selection of views. New York: Viking Press.Google Scholar

Ashton, T. S. (1948/1969). The industrial revolution 1760–1830. London: Oxford University Press.Google Scholar

Atkins, P. (2004). Ponderable matter: Explanation in chemistry. In Cornwell, J. (Ed.), Explanations: Styles of explanations in science (pp. 111–124). Oxford, UK: Oxford University Press.Google Scholar

Atwood, M. E., & Polson, P. G. (1976). A process model for water jug problems. Cognitive Psychology, vol. 8, pp. 191–216.CrossRefGoogle Scholar

Atwood, M. E., Masson, M. E. J., & Polson, P. G. (1980). Further explorations with a process model for water jug problems. Memory & Cognition, vol. 8, pp. 182–192.CrossRefGoogle ScholarPubMed

Auerswald, P., Kauffman, S., Lobo, J., & Shell, K. (2000). The production recipes approach to modeling technological innovation: An application to learning by doing. Journal of Economic Dynamics and Control, vol. 24, pp. 389–450.CrossRefGoogle Scholar

Aunger, R. (2002). The electric meme: A new theory of how we think. New York: Free Press.Google Scholar

Ausubel, D. P. (1963). The psychology of meaningful verbal learning: An introduction to school learning. New York: Grune & Stratton.Google Scholar

Ausubel, D. P. (1968). Educational psychology: A cognitive view. New York: Holt, Rinehart and Winston.Google Scholar

Baars, B. J. (1986). The cognitive revolution in psychology. New York: Guilford Press.Google Scholar

Bacon, F. (1620/1994). Novum organum (transl. Urbach, P. & Gibson, J.). Chicago: Open Court.Google Scholar

Baddeley, A. (1996). Exploring the central executive. Quarterly Journal of Experimental Psychology, vol. 49A, pp. 5–28.CrossRefGoogle Scholar

Baddeley, A. (2007). Working memory, thought, and action. Oxford, UK: Oxford University Press.CrossRefGoogle Scholar

Baggott, J. (2004). Beyond measure: Modern physics, philosophy, and the meaning of quantum theory. New York: Oxford University Press.Google Scholar

Bain, A. (1879). The senses and the intellect (3rd ed.). New York: D. Appleton.Google Scholar

Bain, A., & Vorst, Wm. D. (1999). The Hindenburg tragedy revisited: The fatal flaw found. International Journal of Hydrogen Energy, vol. 24, pp. 399–403.CrossRefGoogle Scholar

Bak, P. (1996). How nature works: The science of self-organized criticality. New York: Springer-Verlag.CrossRefGoogle Scholar

Balcetis, E., & Dunning, D. (2007). Cognitive dissonance and the perception of natural environments. Psychological Science, vol. 18, pp. 917–921.CrossRefGoogle ScholarPubMed

Baldwin, J. M. (1896a). A new factor in evolution. American Naturalist, vol. 30, pp. 441–451.CrossRefGoogle Scholar

Baldwin, J. M. (1896b). A new factor in evolution (continued). American Naturalist, vol. 30, pp. 536–553.CrossRefGoogle Scholar

Baldwin, N. (2001). Edison: Inventing the century. Chicago: University of Chicago Press.Google Scholar

Baldwin, T. T., & Ford, J. K. (1988). Transfer of training: A review and directions for future research. Personnel Psychology, vol. 41, pp. 63–105.CrossRefGoogle Scholar

Barber, B. (1961). Resistance by scientists to scientific discovery. Science, vol. 134, pp. 596–602.CrossRefGoogle ScholarPubMed

Barber, M. J., & Lichtman, J. W. (1999). Activity-driven synapse elimination leads paradoxically to domination by inactive neurons. Journal of Neuroscience, vol. 19, pp. 9975–9985.CrossRefGoogle ScholarPubMed

Barkow, J. H., Cosmides, L., & Tooby, J. (Eds.). (1992). The adapted mind: Evolutionary psychology and the generation of culture. New York: Oxford University Press.

Barnes, B. R., & Clawson, E. V. (1975). Do advance organizers facilitate learning? Recommendations for further research based on an analysis of 32 studies. Review of Educational Research, vol. 45, pp. 637–659.CrossRefGoogle Scholar

Barron, F., & Harrington, D. M. (1981). Creativity, intelligence, and personality. Annual Review of Psychology, vol. 32, pp. 439–476.CrossRefGoogle Scholar

Barrow, D., Mitrovic, A., Ohlsson, S., & Grimley, M. (2008). Assessing the impact of positive feedback in constraint-based tutors. In Woolf, B. P., Aïmeur, E., Nkambou, R., & Lajoie, S. (Eds.), Intelligent tutoring systems (pp. 250–259). Berlin, Germany: Springer-Verlag.Google Scholar

Bartlett, F. C. (1932). Remembering: A study in experimental and social psychology. Cambridge, MA: Cambridge University Press.Google Scholar

Bar-Yosef, O. (1992). The role of Western Asia in modern human origins. Philosophical Transactions: Biological Sciences, vol. 337, pp. 193–200.CrossRefGoogle ScholarPubMed

Bassok, M. (1990). Transfer of domain-specific problem-solving procedures. Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 16, pp. 522–533.Google Scholar

Bassok, M., & Holyoak, K. J. (1989). Interdomain transfer between isomorphic topics in algebra and physics. Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 15, pp. 153–166.Google Scholar

Behrens, R. R. (1987). The life and unusual ideas of Adelbert Ames, Jr. Leonardo, vol. 20, pp. 273–279.CrossRefGoogle Scholar

Belich, J. (2001). Making peoples: A history of the New Zealanders from Polynesian settlement to the end of the nineteenth century. Honolulu, HI: University of Hawai‘i Press.Google Scholar

Bell, M. S. (2005). Lavoisier in Year One. New York: Norton.Google Scholar

Berenbaum, M. R. (1996). Introduction to the symposium: On the evolution of specialization. American Naturalist, vol. 148, pp. 78–83.CrossRefGoogle Scholar

Bereiter, C., & Scardamalia, M. (1985). Cognitive coping strategies and the problem of “inert knowledge.” In Chipman, S. F., Segal, J. W., & Glaser, R. (Eds.), Thinking and learning skills (vol. 2): Research and open questions (pp. 65–80). Hillsdale, NJ: Erlbaum.Google Scholar

Berkson, W., & Wettersten, J. (1984). Learning from error: Karl Popper's psychology of learning. La Salle, IL: Open Court.Google Scholar

Bernstein, S., Lebow, R. N., Stein, J. G., & Weber, S. (2000). God gave physics the easy problems: Adapting social science to an unpredictable world. European Journal of International Relations, vol. 6, pp. 43–76.CrossRefGoogle Scholar

Bernstein, W. J. (2004). The birth of plenty: How the prosperity of the modern world was created. New York: McGraw-Hill.Google Scholar

Bertman, S. (1998). Hyperculture: The human cost of speed. Westport, CT: Praeger.Google Scholar

Besemer, S. P. (1998). Creative product analysis matrix: Testing the model structure and a comparison among products – three novel chairs. Creativity Research Journal, vol. 11, pp. 333–346.CrossRefGoogle Scholar

Besemer, S. P., & Treffinger, D. J. (1981). Analysis of creative products: Review and synthesis. Journal of Creative Behavior, vol. 15, pp. 158–178.CrossRefGoogle Scholar

Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review, vol. 94, pp. 115–147.CrossRefGoogle ScholarPubMed

Bishop, B., & Anderson, C. (1990). Student conceptions of natural selection and its role in evolution. Journal of Research in Science Teaching, vol. 27, pp. 415–427.CrossRefGoogle Scholar

Birch, H. G., & Rabinowitz, H. S. (1951). The negative effect of previous experience on productive thinking. Journal of Experimental Psychology, vol. 41, pp. 121–125.CrossRefGoogle ScholarPubMed

Blackburn, P., Benthem, J. F. A. K., & Wolter, F. (Eds.). (2007). Handbook of modal logic. Amsterdam, the Netherlands: Elsevier.

Blackmore, S. (1999). The meme machine. Oxford, UK: Oxford University Press.Google Scholar

Blanshard, F. B. (1949). The retreat from likeness in the theory of painting (2nd ed.). New York: Columbia University Press.Google Scholar

Bloom, B. S. (1984). The 2 sigma problem: The search for methods of group instruction as effective as one-to-one tutoring. Educational Researcher, vol. 13, pp. 4–16.CrossRefGoogle Scholar

Blyth, M. (2006). Great punctuations: Predictions, randomness, and the evolution of comparative political science. American Political Science Review, vol. 100, pp. 1–6.CrossRefGoogle Scholar

Boden, M. A. (1972). Purposive explanation in psychology. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar

Bohner, G., & Wänke, M. (2002). Attitudes and attitude change. New York: Psychology Press.Google Scholar

Bonabeau, E., Theraulaz, G., Deneubourg, J.-L., Aron, S., & Camazine, S. (1997). Self-organization in social insects. Trends in Ecology & Evolution, vol. 12, pp. 188–193.CrossRefGoogle ScholarPubMed

Boole, G. (1854/1958). An investigation of the laws of thought on which are founded the mathematical theories of logic and probabilities. New York: Dover.CrossRefGoogle Scholar

Bosse, T., Jonker, C. M., & Treur, J. (2006). Componential explanation in philosophy, cognitive science and computer science. In Sun, R. & Miyake, N. (Eds.), Proceedings of the 28th Annual Conference of the Cognitive Science Society (pp. 95–100), Vancouver, British Columbia, Canada, June 26–29. Electronic archive at http://www.cognitivesciencesociety.org/conference_past.html.

Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001). Conflict monitoring and cognitive control. Psychological Review, vol. 108, pp. 624–652.CrossRefGoogle ScholarPubMed

Bouchard, T. J., & McGue, M. (1981). Familial studies of intelligence: A review. Science, vol. 22, pp. 1055–1059.CrossRefGoogle Scholar

Boulding, K. E. (1961). The image: Knowledge in life and society. Ann Arbor: University of Michigan Press.Google Scholar

Bowden, E. M., & Jung-Beeman, M. (2003). Aha! Insight experience correlates with solution activation in the right hemisphere. Psychonomic Bulletin & Review, vol. 10, pp. 730–737.CrossRefGoogle ScholarPubMed

Bowden, E. M., Jung-Beeman, M., Fleck, J., & Kounios, J. (2005). New approaches to demystifying insight. Trends in Cognitive Sciences, vol. 9, pp. 322–328.CrossRefGoogle ScholarPubMed

Bower, G. H. (1972). Mental imagery and associative learning. In Gregg, L. W. (Ed.), Cognition in learning and memory (pp. 51–88). New York: Wiley.Google Scholar

Bower, G. H., & Reitman, J. S. (1972). Mnemonic elaboration in multilist learning. Journal of Verbal Learning and Verbal Behavior, vol. 11, pp. 478–485.CrossRefGoogle Scholar

Boyer, C. B. (1985). A history of mathematics. Princeton, NJ: Princeton University Press.Google Scholar

Bradshaw, G. (1992). The airplane and the logic of invention. In Giere, R. N. (Ed.), Minnesota Studies in the Philosophy of Science (vol. 15): Cognitive models of science (pp. 239–250). Minneapolis: University of Minneapolis Press.Google Scholar

Brady, J. E., & Holum, J. R. (1988). Fundamentals of chemistry (3rd ed.). New York: Wiley.Google Scholar

Bransford, J. D., Barclay, J. R., & Franks, J. J. (1972). Sentence memory: A constructive versus interpretative approach. Cognitive Psychology, vol. 3, pp. 193–209.CrossRefGoogle Scholar

Bransford, J. D., & Schwartz, D. L. (1999). Rethinking transfer: A simple proposal with multiple implications. Review of Research in Education, vol. 24, pp. 61–100.Google Scholar

Brewer, W. F., & Lambert, B. L. (2001). The theory-ladenness of observation and the theory-ladenness of the rest of the scientific process. Philosophy of Science, vol. 68, pp. 176–186.CrossRefGoogle Scholar

Brewer, W. F., & Nakamura, G. V. (1984). The nature and function of schemas. In Wyer, R. & Srull, T. (Eds.), Handbook of social cognition (pp. 119–160). Hillsdale, NJ: Erlbaum.Google Scholar

Broadbent, D. E. (1958). Perception and communication. Oxford, UK: Pergamon Press.CrossRefGoogle Scholar

Brock, W. (1993). The Norton history of chemistry. New York: Norton.Google Scholar

Brodie, R. (1996). Virus of the mind: The science of the meme. Seattle, WA: Integral Press.Google Scholar

Broude, N. (Ed.). (1994). World impressionism: The international movement, 1860–1920. New York: Harry N. Abrams.

Brown, A. S. (1991). A review of the tip-of-the-tongue experience. Psychological Bulletin, vol. 109, pp. 204–223.CrossRefGoogle ScholarPubMed

Brown, K. A. (1988). Inventors at work: Interviews with 16 notable American inventors. Redmond, WA: Microsoft Press.Google Scholar

Brown, J. S., & Burton, R. R. (1978). Diagnostic models for procedural bugs in basic mathematical skills. Cognitive Science, vol. 2, pp. 155–192.CrossRefGoogle Scholar

Brown, J. S., & VanLehn, K. (1980). Repair theory: A generative theory of bugs in procedural skills. Cognitive Science, vol. 4, pp. 379–426.CrossRefGoogle Scholar

Brown, R., Vivian, J., & Hewstone, M. (1999). Changing attitudes through group contact: The effects of group membership salience. European Journal of Social Psychology, vol. 29, pp. 741–764.3.0.CO;2-8>CrossRefGoogle Scholar

Brown, S., & Heathcote, A. (2003). Averaging learning curves across and within participants. Behavior Research Methods, Instruments, and Computers, vol. 35, pp. 11–21.CrossRefGoogle ScholarPubMed

Brownell, W. A. (1947). An experiment on “borrowing” in third-grade arithmetic. Journal of Educational Research, vol. 16, pp. 161–263.CrossRefGoogle Scholar

Brownell, W. A., & Moser, H. E. (1949). Meaningful vs. mechanical learning: A study in Grade III subtraction. Durham, NC: Duke University Press.Google Scholar

Bruner, J. S. (1966). Toward a theory of instruction. Cambridge, MA: Harvard University Press.Google Scholar

Bruner, J. S. (1970). The growth and structure of skill. In Connolly, K. (Ed.), Mechanisms of motor skill development (pp. 63–94). New York: Academic Press.Google Scholar

Bruner, J. S., & Postman, L. (1949). On the perception of incongruity: A paradigm. Journal of Personality, vol. 18, pp. 206–223.CrossRefGoogle Scholar

Bryan, W. L., & Harter, N. (1897). Studies in the physiology and psychology of the telegraphic language. Psychological Review, vol. 4, pp. 27–53.CrossRefGoogle Scholar

Bryan, W. L., (1899). Studies on the telegraphic language: The acquisition of a hierarchy of habits. Psychological Review, vol. 6, pp. 345–375.Google Scholar

Buchanan, B. G. (2001). Creativity at the meta-level. AI Magazine, vol. 22, pp. 13–28.Google Scholar

Buchanan, B. G., & Feigenbaum, E. A. (1978). Dendral and Meta-Dendral: Their application dimension. Artificial Intelligence, vol. 11, pp. 5–24.CrossRefGoogle Scholar

Buchanan, B., Moore, J., Carenini, G., Forsythe, D., Ohlsson, S., & Banks, G. (1995). An intelligent interactive system for delivering individualized information to patients. Artificial Intelligence in Medicine, vol. 7, pp. 117–154.CrossRefGoogle ScholarPubMed

Buckley, K. W. (1989). Mechanical man: John Broadus Watson and the beginnings of behaviorism. New York: Guilford Press.Google Scholar

Budd, G. E. (2006). On the origin and evolution of major morphological characters. Biological Reviews, vol. 81, pp. 609–628.CrossRefGoogle ScholarPubMed

Buderi, R. (1996). The invention that changed the world: How a small group of radar pioneers won the Second World War and launched a technological revolution. New York: Simon & Schuster.Google Scholar

Buller, D. J. (2005). Evolutionary psychology: The emperor's new paradigm. TRENDS in Cognitive Science, vol. 9, pp. 277–283.CrossRefGoogle ScholarPubMed

Burroughs, W. J. (2005). Climate change in prehistory: The end of the reign of chaos. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar

Burton, R. R. (1982). Diagnosing bugs in a simple procedural skill. In Sleeman, D. & Brown, J. S. (Eds.), Intelligent tutoring systems (pp. 157–199). New York: Academic Press.Google Scholar

Bush, G. L. (1975). Modes of animal speciation. Annual Review of Ecology and Systematics, vol. 6, pp. 339–364.CrossRefGoogle Scholar

Butterfield, H. (1957). The origins of modern science 1300–1800 (revised ed.). New York: Free Press.Google Scholar

Butterworth, A., & Laurence, R. (2005). Pompeii: The living city. New York: St. Martin's Press.Google Scholar

Butts, R. E. (Ed.). (1989). William Whewell: Theory of scientific method (revised ed.). Indianapolis, IN: Hackett.

Bynum, C. W. (2001). Metamorphosis and identity. New York: Zone Books.Google Scholar

Calandra, B., & Barron, A. E. (2005). A preliminary investigation of advance organizers for a complex educational website. Journal of Educational Multimedia and Hypermedia, vol. 14, pp. 5–23.Google Scholar

Callander, R. A. (1978). River meandering. Annual Review of Fluid Mechanics, vol. 10, pp. 129–158.CrossRefGoogle Scholar

Calvin, W. H. (1991). Ascent of mind: Ice age climates and the evolution of intelligence. New York: Bantam Books.Google Scholar

Camazine, S., Deneubourg, J. -L., Franks, N. R., Sneyd, J., Theraulaz, G., & Bonabeau, E. (2001). Self-organization in biological systems. Princeton, NJ: Princeton University Press.Google Scholar

Cameron, K. A., Jacks, J. Z., & O'Brien, M. E. (2002). An experimental investigation of strategies for resisting persuasion. Current Research in Social Psychology, vol. 7, pp. 205–224. Electronic publication available at http://www.uiowa.edu/~grpproc/crisp/crisp.7.12.htm.Google Scholar

Camilleri, K. (2006). Heisenberg and the wave-particle duality. Studies in History and Philosophy of Modern Physics, vol. 37, pp. 298–315.CrossRefGoogle Scholar

Campbell, D. T. (1960). Blind variation and selective retention in creative thought as in other knowledge processes. Psychological Review, vol. 67, pp. 380–400.CrossRefGoogle ScholarPubMed

Campitelli, G., & Gobet, F. (2005). The mind's eye in blindfold chess. European Journal of Cognitive Psychology, vol. 17, pp. 23–45.CrossRefGoogle Scholar

Caprara, G. V., & Cervone, D. (2000). Personality: Determinants, dynamics, and potentials. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar

Caramazza, A., McCloskey, M., & Green, B. (1980). Naive beliefs in “sophisticated” subjects: Misconceptions about trajectories of objects. Cognition, vol. 9, pp. 117–123.CrossRefGoogle Scholar

Caramazzo, A., & Shelton, J. A. (1998). Domain-specific knowledge systems in the brain: The animate-inanimate distinction. Journal of Cognitive Neuroscience, vol. 10, pp. 1–34.CrossRefGoogle Scholar

Carbonell, J. G. (1983). Learning by analogy: Formulating and generalizing plans from past experience. In Michalski, R. S., Carbonell, J. G., & Mitchell, T. M. (Eds.), Machine learning: An artificial intelligence approach (pp. 137–161). Palo Alto, CA: Tioga.Google Scholar

Carbonell, J. G. (1986). Derivational analogy: A theory of reconstructive problem solving and expertise acquisition. In Michalski, R. S., Carbonell, J. G., & Mitchell, T. M. (Eds.), Machine learning: An artificial intelligence approach (vol. 2, pp. 371–392). Los Altos, CA: Morgan Kauffmann.Google Scholar

Carlson, W. B., & Gorman, M. E. (1992). A cognitive framework to understand technological creativity: Bell, Edison, and the telephone. In Weber, R. J. & Perkins, D. N. (Eds.), Inventive minds: Creativity in technology (pp. 48–79). New York: Oxford University Press.Google Scholar

Carnie, A. (2008). Constituent structure. New York: Oxford University Press.Google Scholar

Carroll, J. B. (1993). Human cognitive abilities: A survey of factor-analytic studies. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar

Carroll, P. B., & Mui, C. (2008). Billion-dollar lessons: What you can learn from the most inexcusable business failures of the last 25 years. New York: Portfolio.Google Scholar

Carroll, S. B. (2005). Endless forms most beautiful: The new science of evo devo and the making of the animal kingdom. New York: Norton.Google Scholar

Casper, B. M, & Noer, R. J. (1972). Revolutions in physics. New York: Norton.Google Scholar

Catrambone, R. (1995). Aiding subgoal learning: Effects on transfer. Journal of Educational Psychology, vol. 8, pp. 5–17.CrossRefGoogle Scholar

Catrambone, R. (1998). The subgoal learning model: Creating better examples so that students can solve novel problems. Journal of Experimental Psychology: General, vol. 127, pp. 355–376.CrossRefGoogle Scholar

Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, vol. 54, pp. 1–22.CrossRefGoogle Scholar

Cavalli-Sforza, L. L. (2000). Genes, peoples, and languages (Seielstad, M., Trans.). New York: Farrar, Straus and Giroux.Google Scholar

Cech, T. R. (2001). Overturning the dogma: Catalytic RNA. In Pfenninger, K. H. & Shubik, V. R. (Eds.), The origins of creativity (pp. 5–17). Oxford, UK: Oxford University Press.Google Scholar

Cervone, D. (2004). The architecture of personality. Psychological Review, vol. 111, pp. 183–204.CrossRefGoogle ScholarPubMed

Cervone, D. (2005). Personality architecture: Within-person structures and processes. Annual Review of Psychology, vol. 56, pp. 423–452.CrossRefGoogle ScholarPubMed

Champagne, A. B., Gunstone, R. F., & Klopfer, L. E. (1985). In West, L. H. T. & Pines, A. L. (Eds.), Cognitive structure and conceptual change (pp. 61–90). New York: Academic Press.Google Scholar

Chan, C., Burtis, J., & Bereiter, C. (1997). Knowledge building as a mediator of conflict in conceptual change. Cognition and Instruction, vol. 15, pp. 1–40.CrossRefGoogle Scholar

Chandler, P., & Sweller, J. (1991). Cognitive load theory and the format of instruction. Cognitive Science, vol. 8, pp. 293–332.Google Scholar

Chase, W. G., & Ericsson, K. A. (1981). Skilled memory. In Anderson, John R. (Ed.), Cognitive skills and their acquisition (pp. 141–189). Hillsdale, NJ: Erlbaum.Google Scholar

Chase, W. G., & Simon, H. A. (1973a). Skill in chess. American Scientist, vol. 61, pp. 394–403.Google Scholar

Chase, W. G., (1973b). The mind's eye in chess. In Chase, W. G. (Ed.), Visual information processing (pp. 215–281). New York: Academic Press.Google Scholar

Chauvet, J.-M., Deschamps, E. B., & Hillaire, C. (1996). Dawn of art: The Chauvet Cave. The oldest known paintings in the world. New York: Harry N. Abrams.Google Scholar

Chechik, G., Meilijson, I., & Ruppin, E. (1998). Synaptic pruning in development: A computational account. Neural Computation, vol. 10, pp. 1759–1777.CrossRefGoogle ScholarPubMed

Cheng, P. W., & Holyoak, K. J. (1985). Pragmatic reasoning schemas. Cognitive Psychology, vol. 17, pp. 391–416.CrossRefGoogle ScholarPubMed

Cheyney, E. P. (1924). Law in history. American Historical Review, vol. 29, pp. 231–248.CrossRefGoogle Scholar

Chi, M. T. H. (1992). Conceptual change within and across ontological categories: Examples from learning and discovery in science. In Giere, R. N. (Ed.), Cognitive models of science (pp. 129–186). Minneapolis: University of Minnesota Press.Google Scholar

Chi, M. T. H. (1997). Creativity: Shifting across ontological categories flexibly. In Ward, T. B., Smith, S. M., & Vaid, J. (Eds.), Creative thought: An investigation of conceptual structures and processes (pp. 209–234). Washington, DC: American Psychological Association.Google Scholar

Chi, M. T. H. (2005). Commonsense conceptions of emergent processes: Why some misconceptions are robust. Journal of the Learning Sciences, vol. 14, pp. 161–199.CrossRefGoogle Scholar

Chi, M. T. H. (2008). Three types of conceptual change: Belief revision, mental model transformation, and categorical shift. In Vosniadou, S. (Ed.), Handbook of research on conceptual change (pp. 61–82). Hillsdale, NJ: Erlbaum.Google Scholar

Chi, M. T. H., & Brem, S. K. (2009). Contrasting Ohlsson's resubsumption theory with Chi's categorical shift theory. Educational Psychologist, vol. 44, pp. 58–63.CrossRefGoogle Scholar

Chi, M. T. H., Glaser, R., & Farr, M. (Eds.). (1988). The nature of expertise. Hillsdale, NJ: Erlbaum.

Chi, M. T. H., & Hausmann, R. G. M. (2003). Do radical discoveries require ontological shifts? In Shavinina, L.V. (Ed.), International handbook on innovation (vol. 3, pp. 430–444). Oxford, UK: Elsevier.Google Scholar

Chi, M. T. H., & Ohlsson, S. (2005). Complex declarative learning. In Holyoak, K. J. & Morrison, R. G. (Eds.), The Cambridge handbook of thinking and reasoning (pp. 371–399). Cambridge, UK: Cambridge University Press.Google Scholar

Chi, M. T. H., & Roscoe, R. D. (2002). The processes and challenges of conceptual change. In Limón, M. & Mason, L. (Eds.), Reconsidering conceptual change: Issues in theory and practice (pp. 3–27). Dordrecht, the Netherlands: Kluwer.Google Scholar

Chi, M. T. H., Siler, S. A., Jeong, H., Yamauchi, T., & Hausmann, R. G. (2001). Learning from human tutoring. Cognitive Science, vol. 25, pp. 471–533.CrossRefGoogle Scholar

Chi, M. T. H., Slotta, J. D., & Leeuw, N. (1994). From things to processes: A theory of conceptual change for learning science concepts. Learning and Instruction, vol. 4, pp. 27–43.CrossRefGoogle Scholar

Chinn, C. A., & Brewer, W. F. (1993). The role of anomalous data in knowledge acquisition: A theoretical framework and implications for science instruction. Review of Educational Research, vol. 63, pp. 1–49.CrossRefGoogle Scholar

Chipp, H. B. (1988). Picasso's “Guernica”: History, transformations, meanings. Berkeley: University of California Press.Google Scholar

Chomsky, N. (1957/1972). Syntactic structures. The Hague, the Netherlands: Mouton.Google Scholar

Chomsky, N. (1964). Current issues in linguistic theory. The Hague, the Netherlands: Mouton.Google Scholar

Chronicle, E. P., Ormerod, T. C., & MacGregor, J. N. (2001). When insight just won't come: The failure of visual cues in the nine-dot problem. Quarterly Journal of Experimental Psychology, vol. 54, pp. 903–919.CrossRefGoogle ScholarPubMed

Chronicle, E. P., MacGregor, J. N., & Ormerod, T. C. (2004). What makes an insight problem? The roles of heuristics, goal conception, and solution recoding in knowledge-lean problems. Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 30, pp. 14–27.Google ScholarPubMed

Churchland, P. M. (1995). The engine of reason, the seat of the soul: A philosophical journey into the brain. Cambridge, MA: MIT Press.Google Scholar

Churchland, P. S. (1996). Toward a neurobiology of the mind. In Llinás, R. & Churchland, P. S. (Eds.), The mind-brain continuum: Sensory processes (pp. 281–303). Cambridge, MA: MIT Press.Google Scholar

Clagett, M. (1959). The science of mechanics in the Middle Ages. Madison: University of Wisconsin Press.Google Scholar

Clancey, W. J. (1985). Heuristic classification. Artificial Intelligence, vol. 27, pp. 289–350.CrossRefGoogle Scholar

Clancey, W. J. (1997). Situated cognition: On human knowledge and computer representations. Cambridge, UK: Cambridge University Press.Google Scholar

Clark, H. H. (1969). Linguistic processes in deductive reasoning. Psychological Review, vol. 76, pp. 387–404.CrossRefGoogle Scholar

Clement, J. (1982). Students' preconceptions in introductory mechanics. American Journal of Physics, vol. 50, pp. 66–71.CrossRefGoogle Scholar

Clottes, J., & Courtin, J. (1996). The cave beneath the sea: Paleolithic images at Cosquer. New York: Harry N. Abrams.Google Scholar

Cohen, E. A., & Gooch, J. (1991). Military misfortunes: The anatomy of failure in war. New York: Vintage.Google Scholar

Cohen, P. A., Kulik, J. A., & Kulik, C.-L. C. (1982). Educational outcomes of tutoring: A meta-analysis of findings. American Educational Research Journal, vol. 19, pp. 237–248.CrossRefGoogle Scholar

Cole, M., Engeström, Y., & Vasquez, O. (Eds.). (1997). Mind, culture, and activity: Seminal papers from the laboratory of comparative human cognition. Cambridge, UK: Cambridge University Press.

Colish, M. L. (1997). Medieval foundations of the Western intellectual tradition 400–1400. New Haven, CT: Yale University Press.Google Scholar

Collins, A. M., & Loftus, E. F. (1975). A spreading-activation theory of semantic processing. Psychological Review, vol. 82, pp. 407–428.CrossRefGoogle Scholar

Comins, N. F. (2001). Heavenly errors: Misconceptions about the real nature of the universe. New York: Columbia University Press.CrossRefGoogle Scholar

Commons, M. L., Trudeau, E. J., Stein, S. A., Richards, F. A., & Krause, S. R. (1998). Hierarchical complexity of tasks shows the existence of developmental stages. Developmental Review, vol. 18, pp. 237–278.CrossRefGoogle Scholar

Conway, F., & Siegelman, J. (2005). Dark hero of the information age: In search of Norbert Wiener, the father of cybernetics. New York: Basic Books.Google Scholar

Cooper, B. (1992). Beethoven and the creative process. Oxford, UK: Oxford University Press.Google Scholar

Cooper, R. P. (2006). Cognitive architectures as Lakatosian research programs: Two case studies. Philosophical Psychology, vol. 19, pp. 199–220.CrossRefGoogle Scholar

Corkill, A. J. (1992). Advance organizers: Facilitators of recall. Educational Psychology Review, vol. 4, pp. 33–67.CrossRefGoogle Scholar

Cornwell, J. (Ed.). (2004). Explanations: Styles of explanation in science. Oxford, UK: Oxford University Press.

Corrigan-Halpern, A. (2006). Feedback in complex learning: Considering the relationship between utility and processing demands. Doctoral dissertation. Chicago, IL: Department of Psychology, University of Illinois at Chicago.Google Scholar

Corrigan-Halpern, A., & Ohlsson, S. (2002). Feedback effects in the acquisition of a hierarchical skill. In Gray, W. D. & Schunn, C. D. (Eds.), Proceedings of the Twenty-Fourth Annual Conference of the Cognitive Science Society (pp. 226–231). Mahwah, NJ: Erlbaum.Google Scholar

Cosejo, D. G., Oesterreich, J., & Ohlsson, S. (2009). Re-categorization: Restructuring in categorization. Proceedings of the 31st Annual Meeting of the Cognitive Science Society (pp. 573–578). Amsterdam, the Netherlands, 29 July to 1 August, 2009.Google Scholar

Cosmides, L. (1989). The logic of social exchange: Has natural selection shaped how humans reason? Studies with the Wason selection task. Cognition, vol. 31, pp. 187–276.CrossRefGoogle ScholarPubMed

Costeau, J. Y. (1953). The silent world. New York: Harper & Brothers.Google Scholar

Costeau, J. Y. (1963). The living sea. New York: Harper & Row.Google Scholar

Costeau, J. Y. (1964). World without sun. New York: Harper & Row.Google Scholar

Cowan, R., & Jonard, N. (2003). The dynamics of collective invention. Journal of Economic Behavior & Organization, vol. 52, pp. 513–532.CrossRefGoogle Scholar

Cox, J. D. (2005). Climate crash: Abrupt climate change and what it means for our future. Washington, DC: Joseph Henry Press.Google Scholar

Crain, S., & Pietroski, P. (2002). Why language acquisition is a snap. Linguistic Review, vol. 19, pp. 163–183.Google Scholar

Crane, N. (2002). Mercator: The man who mapped the planet. New York: Henry Holt.Google Scholar

Crevier, D. (1993). AI: The tumultuous history of the search for artificial intelligence. New York: Basic Books.Google Scholar

Crockenberg, S. B. (1972). Creativity tests: A boon or boondoggle for education?Review of Educational Research, vol. 42, pp. 27–45.CrossRefGoogle Scholar

Crossman, E. R. F. (1959). A theory of the acquisition of speed-skill. Ergonomics, vol. 2, pp. 153–156.CrossRefGoogle Scholar

Crovitz, H. E. (1971). The capacity of memory loci in artificial memory. Psychonomic Science, vol. 24, pp. 187–188.CrossRefGoogle Scholar

Csikszentmihalyi, M. (1997). Creativity: Flow and the psychology of discovery and invention. New York: HarperCollins.Google Scholar

Cummins, R. (1975). Functional analysis. Journal of Philosophy, vol. 72, pp. 741–765.CrossRefGoogle Scholar

Cummins, R. (1983a). Analysis and subsumption in the behaviorism of Hull. Philosophy of Science, vol. 50, pp. 96–111.CrossRefGoogle Scholar

Cummins, R. (1983b). The nature of psychological explanation. Cambridge, MA: MIT Press.Google Scholar

Cummins, R. (2000). “How does it work?” versus “What are the laws?”: Two conceptions of psychological explanation. In Keil, F. C. & Wilson, R. A. (Eds.), Explanation and cognition (pp. 117–144). Cambridge, MA: MIT Press.Google Scholar

Cushing, J. T. (1991). Quantum theory and explanatory discourse: Endgame for understanding?Philosophy of Science, vol. 58, pp. 337–358.CrossRefGoogle Scholar

Cziko, G. (1995). Without miracles: Universal selection theory and the second Darwinian revolution. Cambridge, MA: MIT Press.Google Scholar

Dacey, J. S., & Lennon, K. H. (1998). Understanding creativity: The interplay of biological, psychological, and social factors. San Francisco, CA: Jossey-Bass.Google Scholar

D'Andrade, R. (1995). The development of cognitive anthropology. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar

Darden, L. (1992). Strategies for anomaly resolution. In Giere, R. N. (Ed.), Minnesota Studies in the Philosophy of Science (vol. 15): Cognitive models of science (pp. 251–273). Minneapolis: University of Minnesota Press.Google Scholar

Darwin, C. (1859/2004). The origin of species by means of natural selection. New York: Barnes & Noble Classics.Google Scholar

Davies, P. S. (2003). Norms of nature: Naturalism and the nature of functions. Cambridge, MA: MIT Press.Google Scholar

Davis, M. (Ed.). (1965/2004). The undecidable: Basic papers on undecidable propositions, unsolvable problems and computable functions. Mineola, NY: Dover.

Davis, R., Buchanan, B., & Shortliffe, E. (1977). Production rules as a representation for a knowledge-based consultation program. Artificial Intelligence, vol. 8, pp. 15–45.CrossRefGoogle Scholar

Davidson, D. (1990). The structure and content of truth. Journal of Philosophy, vol. 87, pp. 279–328.CrossRefGoogle Scholar

Dawkins, R. (1976). The selfish gene. New York: Oxford University Press.Google Scholar

Dawson-Tunik, T. L., Commons, M., Wilson, M., & Fischer, K. W. (2005). The shape of development. European Journal of Developmental Psychology, vol. 2, pp. 163–195.CrossRefGoogle Scholar

Deese, J. (1965). The structure of associations in language and thought. Baltimore, MD: Johns Hopkins University Press.Google Scholar

DeLatil, P. (1954). The underwater naturalist (Fitzgerald, E., Trans.). London: Jarrolds.Google Scholar

Delaney, P. F., Reder, L. M., Staszewski, J. J., & Ritter, F. E. (1998). The strategy-specific nature of improvement: The power law applies by strategy within task. Psychological Science, vol. 9, pp. 1–7.CrossRefGoogle Scholar

Demasters, S., Settlage, J., & Good, R. (1995). Students' conceptions of natural selection and its role in evolution: Cases of replication and comparison. Journal of Research in Science Teaching, vol. 32, pp. 535–550.CrossRefGoogle Scholar

Denbigh, K. G. (1989). The many faces of irreversibility. British Journal for the Philosophy of Science, vol. 40, pp. 501–518.CrossRefGoogle Scholar

DeSoto, D. B., London, M., & Handel, S. (1965). Social reasoning and spatial paralogic. Journal of Personality and Social Psychology, vol. 2, pp. 513–521.CrossRefGoogle Scholar

Detterman, D. K. (1993). The case for the prosecution: Transfer as epiphenomenon. In Detterman, D. K. & Sternberg, R. J. (Eds.), Transfer on trial: Intelligence, cognition, and instruction (pp. 1–24). Norwood, NJ: Ablex.Google Scholar

Detterman, D. K., & Sternberg, R. J. (Eds.). (1993). Transfer on trial: Intelligence, cognition, and instruction. Norwood, NJ: Ablex.

Dial, K. P. (2003). Wing-assisted incline running and the evolution of flight. Science, vol. 299, pp. 402–404.CrossRefGoogle ScholarPubMed

Diamond, J. (2005). Collapse: How societies choose to fail or succeed. London: Penguin Books.Google Scholar

Dickison, M. R. (2007). The allometry of giant flightless birds. Doctoral dissertation. Durham, NC: Department of Biology, Duke University.Google Scholar

Dispenza, J. (2007). Evolve your brain: The science of changing your mind. Deerfield Beach, FL: Health Communications.Google Scholar

DiVesta, F. J., & Walls, R. T. (1967). Transfer of object-function in problem solving. American Educational Research Journal, vol. 4, pp. 207–215.CrossRefGoogle Scholar

Dobzhansky, T. (1973). Nothing in biology makes sense except in the light of evolution. American Biology Teacher, vol. 35, pp. 125–129.CrossRefGoogle Scholar

Dole, J. A., & Sinatra, G. M. (1998). Reconceptualizing change in the cognitive construction of knowledge. Educational Psychologist, vol. 33, pp. 109–128.CrossRefGoogle Scholar

Dole, J. A., Valencia, S. W., Greer, E. A., & Wardrop, J. L. (1991). Effects of two types of prereading instruction on the comprehension of narrative and expository text. Reading Research Quarterly, vol. 26, pp. 142–159.CrossRefGoogle Scholar

Donald, M. (1991). Origins of the modern mind: Three stages in the evolution of culture and cognition. Cambridge, MA: Harvard University Press.Google Scholar

Donald, M. (2001). A mind so rare: The evolution of human consciousness. New York: Norton.Google Scholar

Donaldson, M. (1963). A study of children's thinking. London: Tavistock.Google Scholar

Donini, F. M., Lenzerini, M., Nardi, D., Pirri, F., & Schaerf, M. (1990). Nonmonotonic reasoning. Artificial Intelligence Review, vol. 4, pp. 163–210.CrossRefGoogle Scholar

Dorward, F. M. C., & Day, R. H. (1996). Loss of 3-D shape constancy in interior spaces: The basis of the Ames-room illusion. Perception, vol. 26, pp. 707–718.CrossRefGoogle Scholar

Douven, I. (2002). Testing inference to the best explanation. Synthese, vol. 130, pp. 355–377.CrossRefGoogle Scholar

Dretske, F. (1997). Naturalizing the mind. Cambridge, MA: MIT Press.Google Scholar

Dreyfus, A., Jungwirth, E., & Eliovitch, R. (1990). Applying the “cognitive conflict” strategy for conceptual change – some implications, difficulties and problems. Science Education, vol. 74, pp. 555–569.CrossRefGoogle Scholar

Driver, R., Guesne, E., & Tiberghien, A. (Eds.). (1985). Children's ideas in science. Milton Keynes, UK: Open University Press.

Dubos, R. J. (1976). Louis Pasteur: Free lance of science. New York: Charles Scribner's Sons.Google Scholar

Duffey, R. B., & Saull, J. W. (2003). Know the risk. Learning from errors and accidents: Safety and risk in today's technology. Burlington, MA: Elsevier Science.Google Scholar

Dugas, R. (1955/1988). A history of mechanics. New York: Dover.Google Scholar

Duhem, P. (1914/1991). The aim and structure of physical theory (Wiener, P. P., Trans.). Princeton, NJ: Princeton University Press.Google Scholar

Dunbar, K. (1995). How scientists really reason: Scientific reasoning in real-world laboratories. In Sternberg, R. J. & Davidson, J. E. (Eds.), The nature of insight (pp. 365–395). Cambridge, MA: MIT Press.Google Scholar

Dunbar, K. (1997). How scientists think: On-line creativity and conceptual change in science. In Ward, T. B., Smith, S. M. & Vaid, J. (Eds.), Creative thought: An investigation of conceptual structures and processes (pp. 461–493). Washington, DC: American Psychological Association.Google Scholar

Dunbar, K., & Blanchette, I. (2001). The in vivo/in vitro approach to cognition: The case of analogy. TRENDS in Cognitive Sciences, vol. 5, pp. 334–339.CrossRefGoogle ScholarPubMed

Dunbar, K. N., & Fugelsang, J. A. (2005). Causal thinking in science: How scientists and students interpret the unexpected. In Gorman, M. E., Tweney, R. D., Gooding, D. C., & Kincannon, A. P. (Eds.), Scientific and technological thinking (pp. 57–79). Mahwah, NJ: Erlbaum.Google Scholar

Duncker, K. (1935/1974). Zur Psychologie des produktiven Denkens (Dritter Neudruck). Berlin, Germany: Springer Verlag. [English version: Duncker, K. (1945). On problem-solving. Psychological Monographs, vol. 58, Whole No. 270.]Google Scholar

Durkin, H. E. (1937). Trial-and-error, gradual analysis, and sudden reorganization: An experimental study of problem solving. Archives of Psychology, vol. 30, pp. 1–85.Google Scholar

Eagly, A. H., & Chaiken, S. (1993). The psychology of attitudes. Belmont, CA: Thomson/Wadsworth.Google Scholar

Ebbing, D. D., & Wrighton, M. S. (1990). General chemistry (3rd ed.). Dallas, TX: Houghton Mifflin.Google Scholar

Ebbinghaus, H. (1885/1964). Memory: A contribution to experimental psychology. New York: Dover.Google Scholar

Edelman, G. M. (1987). Neural Darwinism: The theory of neuronal group selection. New York: Basic Books.Google Scholar

Edmondson, A. C. (2004a). Learning from failure in health care: Frequent opportunities, pervasive barriers. Quality and Safety in Health Care, vol. 13 (supplement 2), pp. ii3–ii9.CrossRefGoogle ScholarPubMed

Edmondson, A. C. (2004b). Learning from mistakes is easier said than done: Group and organizational influences on the detection and correction of human error. Journal of Applied Behavioral Science, vol. 40, pp. 66–90.CrossRefGoogle Scholar

Einstein, A. (1934). On the method of theoretical physics. Philosophy of Science, vol. 1, pp. 163–169.CrossRefGoogle Scholar

Einstein, A., & Infeld, L. (1938). The evolution of physics: The growth of ideas from early concepts to relativity and quanta. New York: Simon & Schuster.Google Scholar

Egan, D. E., & Greeno, J. G. (1974). Theory of rule induction: Knowledge acquired in concept learning, serial pattern learning, and problem solving. In Gregg, L. W. (Ed.), Knowledge and cognition (pp. 43–103). Potomac, MD: Erlbaum.Google Scholar

Ehrlich, H. J., & Leed, D. (1969). Dogmatism, learning, and resistance to change: A review and a new paradigm. Psychological Bulletin, vol. 71, pp. 249–260.CrossRefGoogle Scholar

Eliasmith, C., & Thagard, P. (1997). Waves, particles, and explanatory coherence. British Journal for the Philosophy of Science, vol. 48, pp. 1–19.CrossRefGoogle Scholar

Eldredge, N. (1989). Time frames: The evolution of punctuated equilibria. Princeton, NJ: Princeton University Press.CrossRefGoogle Scholar

Eldredge, N., & Gould, S. J. (1972). Punctuated equilibria: An alternative to phyletic gradualism. In Schopf, T. J. M. (Ed.), Models in paleobiology (pp. 82–115). San Francisco, CA: Freeman, Cooper and Co. [Reprinted as Appendix to Eldredge (1989), pp. 193–223. Page references are to the reprinted version.]Google Scholar

Elio, R., & Scharf, P. B. (1990). Modeling novice-to-expert shifts in problem-solving strategy and knowledge organization. Cognitive Science, vol. 14, pp. 579–639.CrossRefGoogle Scholar

Ellis, W. D. (1967). A source book of Gestalt psychology. New York: Humanities Press.Google Scholar

Erdelyi, M. H. (1998). The recovery of unconscious memories: Hypermnesia and reminiscence. Chicago, IL: University of Chicago Press.Google Scholar

Erdoes, R. (1988). A.D. 1000: Living on the brink of apocalypse. New York: Barnes & Noble.Google Scholar

Ericsson, K.A. (1996). The road to excellence. Mahwah, NJ: Erlbaum.Google Scholar

Ericsson, K. A., Charness, N., Feltovich, P. J., & Hoffman, R. R. (Eds.). (2006). The Cambridge handbook of expertise and expert performance. Cambridge, UK: Cambridge University Press.CrossRef

Ericsson, K. A., Krampe, R. Th., & Tesch-Romer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, vol. 100, pp. 363–406.CrossRefGoogle Scholar

Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence of maximal adaptation to task constraints. Annual Review of Psychology, vol. 47, pp. 273–305.CrossRefGoogle ScholarPubMed

Ericsson, K. A., & Simon, H. A. (1984). Protocol analysis: Verbal reports as data. Cambridge, MA: MIT Press.Google Scholar

Ernst, G. W., & Newell, A. (1969). GPS: A case study in generality and problem solving. New York: Academic Press.Google Scholar

Eslinger, P. J., & Damasio, A. R. (1986). Preserved motor learning in Alzheimer's disease: Implications for anatomy and behavior. Journal of Neuroscience, vol. 6, pp. 3006–3009.CrossRefGoogle ScholarPubMed

Estes, W. K. (1950). Toward a statistical theory of learning. Psychological Review, vol. 57, pp. 94–107.CrossRefGoogle Scholar

Estes, W. K. (1956). The problem of inference from curves based on group data. Psychological Bulletin, vol. 53, pp. 134–140.CrossRefGoogle ScholarPubMed

Evans, J. St. B. T. (2007). Hypothetical thinking: Dual processes in reasoning and judgment. New York: Psychology Press.Google Scholar

Fagan, B. (2005). The long summer: How climate changed civilization (paperback ed.). New York: Basic Books.Google Scholar

Falkenhainer, B., Forbus, K. D., & Gentner, D. (1989). The structure-mapping engine: Algorithm and examples. Artificial Intelligence, vol. 41, pp. 1–63.CrossRefGoogle Scholar

Feigenbaum, E. A. (1989). What hath Simon wrought? In Klahr, D. & Kotovsky, K. (Eds.), Complex information processing: The impact of Herbert A. Simon (pp. 165–182). Hillsdale, NJ: Erlbaum.Google Scholar

Feist, G. J. (1999). The influence of personality on artistic and scientific creativity. In Sternberg, R. J. (Ed.), Handbook of creativity (pp. 273–296). Cambridge, UK: Cambridge University Press.Google Scholar

Felleman, D. J., & Essen, D. C. (1991). Distributed hierarchical processing in the primate cerebral cortex. Cerebral Cortex, vol. 1, pp. 1–47.CrossRefGoogle ScholarPubMed

Feltovich, P. J., Ford, K. M., & Hoffman, R. R. (Eds.). (1997). Expertise in context. Menlo Park, CA: AAAI Press.

Ferrari, M., & Chi, M. T. H. (1998). The nature of naïve explanations of natural selection. International Journal of Science Education, vol. 20, pp. 1231–1256.CrossRefGoogle Scholar

Festinger, L. (1957/1962). A theory of cognitive dissonance. Stanford, CA: Stanford University Press.Google Scholar

Feyerabend, P. (1975/1988). Against method (revised ed.). London, UK: Verso.Google Scholar

Fiehler, K., Ullsperger, M., & Cramon, D. Y. (2005). Electrophysiological correlates of error correction. Psychophysiology, vol. 42, pp. 72–82.CrossRefGoogle ScholarPubMed

Finke, R. A. (1989). Principles of mental imagery. Cambridge, MA: MIT Press.Google Scholar

Finke, R. A., Ward, T. B., & Smith, S. M. (1992). Creative cognition: Theory, research, and applications. Cambridge, MA: MIT Press.Google Scholar

Firth-Cozens, J. (2001). Cultures for improving patient safety through learning: The role of teamwork. Quality in Health Care, vol. 10 (supplement II), pp. ii26–ii31.Google ScholarPubMed

Fischer, I. (1975). Another look at Eratosthenes' and Posidonius' determinations of the Earth's circumference. Quarterly Journal of the Royal Astronomical Society, vol. 16, pp. 152–167.Google Scholar

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior. Reading, MA: Addison-Wesley.Google Scholar

Fitts, P. (1964). Perceptual-motor skill learning. In Melton, A. (Ed.), Categories of human learning (pp. 243–285). New York: Academic Press.Google Scholar

Flavell, J. H. (1963). The developmental psychology of Jean Piaget. New York: Van Nostrand Reinhold.CrossRefGoogle Scholar

Fleck, J. I. (2008). Working memory demands in insight versus analytical problem solving. European Journal of Cognitive Psychology, vol. 20, pp. 139–176.CrossRefGoogle Scholar

Fleck, J. I., & Weisberg, R. W. (2004). The use of verbal protocols as data: An analysis of insight in the candle problem. Memory & Cognition, vol. 32, pp. 990–1006.CrossRefGoogle ScholarPubMed

Fodor, J. A. (1968). Psychological explanation: An introduction to the philosophy of psychology. New York: Random House.Google Scholar

Fodor, J. A. (1976). The language of thought. Hassocks, UK: Harvester Press.Google Scholar

Fodor, J. A. (1983). The modularity of mind: An essay on faculty psychology. Cambridge, MA: MIT Press.Google Scholar

Fodor, J. A. (1997). Connectionism and the problem of systematicity (continued): Why Smolensky's solution still doesn't work. Cognition, vol. 62, pp. 109–119.CrossRefGoogle ScholarPubMed

Fodor, J. A., & Pylyshyn, Z. W. (1988). Connectionism and cognitive architecture: A critical analysis. Cognition, vol. 28, pp. 3–71.CrossRefGoogle ScholarPubMed

Forbus, K. D., Gentner, D., & Law, K. (1994). MAC/FAC: A model of similarity-based retrieval. Cognitive Science, vol. 19, pp. 141–205.CrossRefGoogle Scholar

Ford, C. M. (1999). Interpretative style, motivation, ability and context as predictors of executives' creative performance. Creativity and Innovation Management, vol. 8, pp. 188–196.CrossRefGoogle Scholar

Ford, J. (1992). What is chaos, that we should be mindful of it? In Davies, P. (Ed.), The new physics (1st paperback ed., pp. 348–372). Cambridge, UK: Cambridge University Press.Google Scholar

Ford, M. (2005). Human nonmonotonic reasoning: The importance of seeing the logical strength of arguments. Synthese, vol. 146, pp. 71–92.CrossRefGoogle Scholar

Fortun, M., & Schweber, S. S. (1993). Scientists and the legacy of World War II: The case of operations research (OR). Social Studies of Science, vol. 23, pp. 595–642.CrossRefGoogle Scholar

Fossati, D., Di Eugenio, D., Brown, C., & Ohlsson, S. (2008). Learning linked lists: Experiments with the iList system. In Woolf, B. P., Aïmeur, E., Nkambou, R., & Lajoie, S. (Eds.), Intelligent tutoring systems (pp. 80–89). Berlin, Germany: Springer-Verlag.Google Scholar

Fossati, D., Di Eugenio, B., Brown, C., Ohlsson, S., Cosejo, D., & Chen, L. (2009). Supporting computer science curriculum: Exploring and learning linked lists with iList. IEEE Transactions on Learning Technologies, vol. 2, pp. 107–120.CrossRefGoogle Scholar

Foster, J. (2005). From simplistic to complex systems in economics. Cambridge Journal of Economics, vol. 29, pp. 873–892.CrossRefGoogle Scholar

Foster, K. R., Wenseleers, T., & Ratnieks, F. L. W. (2006). Kin selection is the key to altruism. Trends in Ecology and Evolution, vol. 21, pp. 57–60.CrossRefGoogle ScholarPubMed

Franzén, A. (1960). The warship Vasa: Deep diving and marine archeology in Stockholm. Stockholm, Sweden: Norstedt and Bonnier.Google Scholar

French, D. L., Laskov, R., & Scharff, M. D. (1989). The role of somatic hypermutation in the generation of antibody diversity. Science, vol. 244, pp. 1152–1157.CrossRefGoogle ScholarPubMed

Freud, A. (1946). The ego and the mechanisms of defence (Baines, C., Trans.). New York: International Universities Press.Google Scholar

Freud, S. (1923). The ego and the id (Riviere, J., Trans.). Standard Edition, vol. 19, pp. 3–66.

Friedman, M. (1974). Explanation and scientific understanding. Journal of Philosophy, vol. 71, pp. 5–19.CrossRefGoogle Scholar

Friedman, M. (1991). The re-evaluation of logical positivism. Journal of Philosophy, vol. 88, pp. 505–519.CrossRefGoogle Scholar

Fuchs-Beauchamp, K. D., Karnes, M. B., & Johnson, L. J. (1993). Creativity and intelligence in preschoolers. Gifted Child Quarterly, vol. 37, pp. 113–117.CrossRefGoogle Scholar

Fugelsang, J. A., Stein, C. B., Green, A. E., & Dunbar, K. N. (2004). Theory and data interactions of the scientific mind: Evidence from the molecular and the cognitive laboratory. Canadian Journal of Experimental Psychology, vol. 58, pp. 86–95.CrossRefGoogle ScholarPubMed

Furniss, T. (2005). A history of space exploration. London: Mercury Books.Google Scholar

Furth, H. G. (1968). Piaget's theory of knowledge: The nature of representation and interiorization. Psychological Review, vol. 75, pp. 143–154.CrossRefGoogle ScholarPubMed

Furth, H. G. (1969). Piaget and knowledge: Theoretical foundations. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar

Futuyma, D. J., & Moreno, G. (1988). The evolution of ecological specialization. Annual Review of Ecology and Systematics, vol. 19, pp. 207–233.CrossRefGoogle Scholar

Gabbay, D., & Woods, J. (2001). The new logic. Logic Journal of the Interest Group in Pure and Applied Logics, vol. 9, pp. 141–174.Google Scholar

Gaddis, J. L. (2002). The landscape of history: How historians map the past. New York: Oxford University Press.Google Scholar

Gagné, R. M. (1965). The conditions of learning. New York: Holt, Rinehart and Winston.Google Scholar

Gagné, R. M., Foster, H., & Crowley, M. (1948). The measurement of transfer of training. Psychological Bulletin, vol. 45, pp. 97–130.CrossRefGoogle ScholarPubMed

Galenson, D. W. (2006). Old masters and young geniuses: The two life cycles of artistic creativity. Princeton, NJ: Princeton University Press.Google Scholar

Galton, F. (1892/1962). Hereditary genius: An inquiry into its laws and consequences (2nd ed.). London: Collins/Fontana.Google Scholar

Gärdenfors, P. (1988). Knowledge in flux: Modeling the dynamics of epistemic states. Cambridge, MA: MIT Press.Google Scholar

Gardner, H. (1980). Artful scribbles: The significance of children's drawings. New York: Basic Books.Google Scholar

Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New York: Basic Books.Google Scholar

Gardner, H. (1985). The mind's new science: A history of the cognitive revolution. New York: Basic Books.Google Scholar

Gardner, H. (1993). Creating minds: An anatomy of creativity seen through the lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham and Gandhi. New York: Basic Books.Google Scholar

Garzke, W. H., Foecke, T., Matthias, P., & Wood, D. (2000). A marine forensic analysis of the RMS Titanic. Proceedings of the OCEANS 2000 MTS/IEEE Conference and Exhibition, Providence, Rhode Island, September 11–14 (vol. 1, pp. 673–690).CrossRefGoogle Scholar

Gaskell, G. (Ed.). (2007). Oxford handbook of psycholinguistics. New York: Oxford University Press.CrossRef

Gaver, W. W. (1993). What in the world do we hear: An ecological approach to auditory event perception. Ecological Psychology, vol. 5, pp. 1–29.CrossRefGoogle Scholar

Gazzaniga, M. S. (1992). Nature's mind: The biological roots of thinking, emotions, sexuality, language, and intelligence. New York: Basic Books.Google Scholar

Gelman, R. (2000). The epigenesis of mathematical thinking. Journal of Applied Developmental Psychology, vol. 21, pp. 27–37.CrossRefGoogle Scholar

Gelman, R., & Gallistel, C. R. (1978). The child's understanding of number. Cambridge, MA: Harvard University Press.Google Scholar

Gelman, R., & Meck, E. (1983). Preschoolers' counting: Principles before skill. Cognition, vol. 13, pp. 343–359.CrossRefGoogle ScholarPubMed

Gelman, R., Meck, E., & Merkin, S. (1986). Young children's numerical competence. Cognitive Development, vol. 1, pp. 1–29.CrossRefGoogle Scholar

Gensler, W. J. (1987). Impossibilities in chemistry: Their rise, nature, and some great falls. In Davis, P. J. & Park, D. (Eds.), No way: The nature of the impossible (pp. 73–89). New York: Freeman.Google Scholar

Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, vol. 7, pp. 155–170.CrossRefGoogle Scholar

German, T. P., & Barrett, H. C. (2005). Functional fixedness in a technologically sparse culture. Psychological Science, vol. 16, pp. 1–5.CrossRefGoogle Scholar

Getzels, J. W. (1979). Problem finding: A theoretical note. Cognitive Science, vol. 3, pp. 167–172.CrossRefGoogle Scholar

Ghiselin, B. (Ed.). (1952). The creative process: A symposium. New York: New American Library.

Gibson, J. J. (1966). The senses considered as perceptual systems. New York: Houghton Mifflin.Google Scholar

Gibson, J. J. (1977). The theory of affordances. In Shaw, R. E. & Bransford, J. (Ed.), Perceiving, acting and knowing: Toward an ecological psychology (pp. 67–82). Hillsdale, NJ: Erlbaum.Google Scholar

Gick, M. L., & Holyoak, K. J. (1980). Analogical problem solving. Cognitive Psychology, vol. 12, pp. 306–355.CrossRefGoogle Scholar

Gick, M. L., & Holyoak, K. J. (1983). Schema induction and analogical transfer. Cognitive Psychology, vol. 15, pp. 1–38.CrossRefGoogle Scholar

Gies, F., & Gies, J. (1991). Life in a medieval village. New York: HarperCollins.Google Scholar

Gilbert, C. D. (1998). Adult cortical dynamics. Physiological Reviews, vol. 78, pp. 467–485.CrossRefGoogle ScholarPubMed

Gilbert, C. D., & Sigman, M. (2007). Brain states: Top-down influences in sensory processing. Neuron, vol. 54, pp. 677–696.CrossRefGoogle ScholarPubMed

Gilhooly, K. J., & Murphy, P. (2005). Differentiating insight from non-insight problems. Thinking and Reasoning, vol. 11, pp. 279–302.CrossRefGoogle Scholar

Gleick, J. (1987). Chaos: Making a new science. New York: Penguin Books.Google Scholar

Glick, J., & Wapner, S. (1968). Development of transitivity: Some findings and problems of analysis. Child Development, vol. 39, pp. 621–638.CrossRefGoogle Scholar

Glisky, E. L. (1992). Acquisition and transfer of declarative and procedural knowledge by memory-impaired patients: A computer data-entry task. Neuropsychologica, vol. 30, pp. 899–910.CrossRefGoogle ScholarPubMed

Glucksberg, S., & Weisberg, R. W. (1966). Verbal behavior and problem solving: Some effects of labeling in a functional fixedness problem. Journal of Experimental Psychology, vol. 71, pp. 659–664.CrossRefGoogle Scholar

Goddard, R. H. (1919). A method of reaching extreme altitudes. Smithsonian Miscellaneous Collections, vol. 71, no. 2. [Reprinted in Goddard, R. H. (2002). Rockets: Two classic papers (pp. xiii–80). New York: Dover.]Google Scholar

Goldfinch, S. (2000). Remaking New Zealand and Australian economic policy. Victoria, NZ: Victoria University Press.Google Scholar

Goldstein, E. B. (2008). Cognitive psychology: Connecting mind, research, and everyday experience (2nd ed.). Belmont, CA: Thomson Wadsworth.Google Scholar

Goldstone, R. L., & Sakamoto, Y. (2003). The transfer of abstract principles governing complex adaptive systems. Cognitive Psychology, vol. 46, pp. 414–466.CrossRefGoogle ScholarPubMed

Gollan, T. H., & Acenas, L.-A. R. (2004). What is a TOT? Cognate and translation effects on tip-of-the-tongue states in Spanish-English and Tagalog-English bilinguals. Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 30, pp. 246–269.Google ScholarPubMed

Goodman, N. (1954/1983). Fact, fiction, and forecast (4th ed.). Cambridge, MA: Harvard University Press.Google Scholar

Gopnik, A., Glymour, C., Sobel, D. M., Schulz, L. E., & Kushnir, T. (2004). A theory of causal learning in children: Causal maps and Bayes nets. Psychological Review, vol. 111, pp. 3–32.CrossRefGoogle ScholarPubMed

Gopnik, A., & Meltzoff, A. N. (1997). Words, thoughts, and theories. Cambridge, MA: MIT Press.Google Scholar

Gopnik, A., & Wellman, H. M. (1994). The theory theory. In Hirschfeld, L. A. & Gelman, S. A. (Eds.), Mapping the mind: Domain specificity in cognition and culture (pp. 255–293). Cambridge, UK: Cambridge University Press.Google Scholar

Gould, S. J. (1986, November). Of kiwi eggs and the Liberty Bell. Natural History, vol. 90, pp. 20–29. [Reprinted in S. J. Gould (1991), Bully for Brontosaurus: Reflections in natural history (pp. 109–122). New York: Norton.]Google Scholar

Gould, S. J. (2002). The structure of evolutionary theory. Cambridge, MA: Harvard University Press.Google Scholar

Gödel, K. (1962/1992). On formally undecidable propositions of Principia Mathematica and related systems (Meltzer, B., Trans.). New York: Dover.Google Scholar

Graesser, A. C., Gernsbacher, M. A., & Goldman, S. R. (Ed.). (2003). Handbook of discourse processes. Mahwah, NJ: Erlbaum.

Graesser, A. C., Kassler, M. A., Kreuz, R. J., & McLain-Allen, B. (1998). Verification of statements about story worlds that deviate from normal conceptions of time: What is true about Einstein's Dreams?Cognitive Psychology, vol. 35, pp. 246–301.CrossRefGoogle ScholarPubMed

Graesser, A. C., Millis, K. K., & Zwaan, R. A. (1997). Discourse comprehension. Annual Review of Psychology, vol. 48, pp. 163–189.CrossRefGoogle ScholarPubMed

Grant, D. A., Hake, H. W., & Hornseth, J. P. (1951). Acquisition and extinction of a verbal conditioned response with differing percentages of reinforcement. Journal of Experimental Psychology, vol. 42, pp. 1–5.CrossRefGoogle Scholar

Gray, W. D., & Boehm-Davis, D. A. (2000). Milliseconds matter: An introduction to microstrategies and to their use in describing and predicting interactive behavior. Journal of Experimental Psychology: Applied, vol. 6, pp. 322–335.Google ScholarPubMed

Gray, W. D., Schoelles, M. J., & Sims, C. R. (2005). Adapting to the task environment: Explorations in expected value. Cognitive Systems Research, vol. 6, pp. 27–40.CrossRefGoogle Scholar

Greenaway, F. (1966). John Dalton and the atom. Ithaca, NY: Cornell University Press.Google Scholar

Greeno, J. G. (1974). Hobbits and orcs: Acquisition of a sequential concept. Cognitive Psychology, vol. 6, pp. 270–292.CrossRefGoogle Scholar

Greeno, J. G., & Berger, D. (1987, July). A model of functional knowledge and insight (Technical Report No. GK-1). Berkeley: University of California.Google Scholar

Greeno, J. G., & Moore, J. L. (1993). Situativity and symbols: Response to Vera and Simon. Cognitive Science, vol. 17, pp. 49–59.CrossRefGoogle Scholar

Greenwood, J. D. (1999). Understanding the “cognitive revolution” in psychology. Journal of the History of the Behavioral Sciences, vol. 35, pp. 1–22.3.0.CO;2-4>CrossRefGoogle Scholar

Gregory, T. R. (2008). The evolution of complex organs. Evolution: Education and Outreach, vol. 1, pp. 358–389.Google Scholar

Grent-‘t-Jong, T., & Woldorff, M. G. (2007). Timing and sequence of brain activity in top-down control of visual-spatial attention. Public Library of Science Biology, vol. 5, p. e12.Google ScholarPubMed

Grice, H. P. (1975). Logic and conversation. In Cole, P. & Morgan, J. L. (Eds.), Syntax and semantics (vol. 3): Speech acts (pp. 41–58). New York: Seminar. [Reprinted in Grice, P. (1989). Studies in the way of words (pp. 22–40). Cambridge, MA: Harvard University Press.]Google Scholar

Griffin, T., & Ohlsson, S. (2001). Beliefs versus knowledge: A necessary distinction for explaining, predicting, and assessing conceptual change. In Moore, J. D. & Stenning, K. (Eds.), Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society (pp. 364–369). Mahwah, NJ: Erlbaum.Google Scholar

Griffiths, P. E. (1993). Functional analysis and proper functions. British Journal for the Philosophy of Science, vol. 44, pp. 409–422.CrossRefGoogle Scholar

Griggs, R. A., & Osterman, L. J. (1980). Conversion errors in processing artificial set inclusions. Quarterly Journal of Experimental Psychology, vol. 32, pp. 241–246.CrossRefGoogle Scholar

Groner, R., Groner, M., & Bischof, W. F. (Eds.). (1983). Methods of heuristics. Hillsdale, NJ: Erlbaum.

Groopman, J. (2007). How doctors think. Boston, MA: Houghton Mifflin.Google Scholar

Grosser, M. (1962/1979). The discovery of Neptune. New York: Dover.Google Scholar

Gruber, H. E. (1974). Darwin on man: A psychological study of scientific creativity. London: Wildwood House.Google Scholar

Gruber, H. E. (1992). The evolving systems approach to creative work. In Wallace, D. B. & Gruber, H. E. (Eds.), Creative people at work: Twelve cognitive case studies (pp. 3–24). New York: Oxford University Press.Google Scholar

Gruber, H. E., & Wallace, D. B. (1999). The case study method and evolving systems approach for understanding unique creative people at work. In Sternberg, R. J. (Ed.), Handbook of creativity (pp. 93–115). Cambridge, UK: Cambridge University Press.Google Scholar

Hadamard, J. (1949/1954). An essay on the psychology of invention in the mathematical field (enlarged ed.). New York: Dover.Google Scholar

Hahlweg, K., & Hooker, C. A. (Eds.). (1989). Issues in evolutionary epistemology. Albany: State University of New York Press.

Haider, H., & Frensch, P. A. (2002). Why aggregated learning follows the power law of practice when individual learning does not: Comment on Rickard (1997, 1999), Delaney et al. (1998), and Palmeri (1999). Journal of Experimental Psychology: Learning, Memory, and Cognition, vol. 28, pp. 392–406.Google Scholar

Haith, M. M., Hazan, C., & Goodman, G. S. (1988). Expectation and anticipation of dynamic visual events by 3.5-month-old babies. Child Development, vol. 59, pp. 467–479.CrossRefGoogle ScholarPubMed

Hàjek, A., & Hall, N. (2002). Induction and probability. In Machamer, P. & Silberstein, M. (Eds.), The Blackwell guide to the philosophy of science (pp. 149–172). Cambridge, UK: Blackwell.Google Scholar

Hall, A. R. (1956). The scientific revolution 1500–1800: The formation of the modern scientific attitude. Boston, MA: Beacon Press.Google Scholar

Halloun, I. A., & Hestenes, D. (1985). Common sense concepts about motion. American Journal of Physics, vol. 53, pp. 1056–1065.CrossRefGoogle Scholar

Hanke, D. (2004). Teleology: The explanation that bedevils biology. In Cornwell, J. (Ed.), Explanations: Styles of explanation in science (pp. 143–155). Oxford, UK: Oxford University Press.Google Scholar

Hanson, N. R. (1965). Patterns of discovery: An inquiry into the conceptual foundations of science. Cambridge, UK: Cambridge University Press.Google Scholar

Harman, G. H. (1965). The inference to the best explanation. Philosophical Review, vol. 74, pp. 88–95.CrossRefGoogle Scholar

Harman, G. H. (1968). Enumerative induction as inference to the best explanation. Journal of Philosophy, vol. 65, pp. 529–533.CrossRefGoogle Scholar

Harman, P. M. (2001). The natural philosophy of James Clerk Maxwell. New York: Cambridge University Press.Google Scholar

Harmon-Jones, E., & Mills, J. (1999). Cognitive dissonance: Progress on a pivotal theory in social psychology. Washington, DC: American Psychological Association.CrossRefGoogle Scholar

Harris, M. (1968). The rise of anthropological theory: A history of theories of culture. New York: Thomas Y. Crowell.Google Scholar

Hartmann, H. (1958). Ego psychology and the problem of adaptation (Rapaport, D., Trans.). New York: International University Press.CrossRefGoogle Scholar