Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-m9kch Total loading time: 0 Render date: 2024-05-16T01:17:02.017Z Has data issue: false hasContentIssue false

Bibliography

Published online by Cambridge University Press:  02 February 2021

Richard S. Marken
Affiliation:
University of California, Los Angeles
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
The Study of Living Control Systems
A Guide to Doing Research on Purpose
, pp. 131 - 136
Publisher: Cambridge University Press
Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Asch, S. E. (1951). Effects of group pressure upon the modification and distortion of judgment. In Guetzkow, H. (Ed.), Groups, leadership and men (pp. 295303). Pittsburgh: Carnegie Press.Google Scholar
Baird, J. C. (1978). Fundamentals of scaling and psychophysics. Hoboken: Wiley.Google Scholar
Barter, J. W., Li, S., Sukharnikova, T., Rossi, M. A., Bartholomew, R. A., & Yin, H. H. (2015). Basal ganglia outputs map instantaneous position coordinates during behavior. The Journal of Neuroscience, 35(6), 27032716. https://doi.org/10.1523/JNEUROSCI.3245-14.2015.Google Scholar
Bell, H. C. (2014). Behavioral variability in the service of constancy. International Journal of Comparative Psychology, 27, 338360.Google Scholar
Bell, H. C., & Pellis, S. M. (2011). A cybernetic perspective on food protection in rats: Simple rules can generate complex and adaptable behavior. Animal Behaviour, 82, 659666.Google Scholar
Bennett, S. (1993). A history of control engineering, 1930–1955. London: Peter Peregrinus, Ltd.Google Scholar
Bourbon, T. (1990). Invitation to the dance: Explaining the variance when control systems interact. American Behavioral Scientist, 34, 95105.Google Scholar
Carey, T. A. (2006). The method of levels: How to do psychotherapy without getting in the way. Hayward: Living Control Systems.Google Scholar
Carey, T. A. (2008). Hold that thought! St. Louis: Newview.Google Scholar
Carver, C. S., & Scheier, M. F. (1981). Attention and self-regulation: A control-theory approach to human behavior. New York: Springer.CrossRefGoogle Scholar
Chapman, S. (1968). Catching a baseball. American Journal of Physics, 36, 868870.CrossRefGoogle Scholar
Cohen, B. (1946). Authenticity of scientific anecdotes. Nature, 157, 196197.Google Scholar
Craik, K. J. W. (1947). Theory of the human operator in control systems. British Journal of Psychology, 38, 5661.Google Scholar
Craik, K. J. W. (1948). Theory of the human operator in control systems. British Journal of Psychology, 39, 142148.Google Scholar
Dawkins, R. (1989). The selfish gene (2nd ed.). New York: Oxford University Press.Google Scholar
Donders, F. C. (1969). On the speed of mental processes. Acta Psychologica, 30, 412431. (Attention and performance II (Koster, W. G., ed.). Originally published in 1868).Google Scholar
Dylan, B. (1963a). Talkin’ WWIII blues. Special Rider Music.Google Scholar
Dylan, B. (1963b). The times they are a'changin’. Special Rider Music.Google Scholar
Ferster, C. B., & Skinner, B. F. (1957). Schedules of reinforcement. East Norwalk: Appleton-Century-Crofts.Google Scholar
Feynman, R. (1985). Surely you're joking, Mr. Feynman! New York: W. W. Norton.Google Scholar
Gourevitch, V. (2018). Of the social contract. In Gourevitch, V. (Ed.), The social contract and other later political writings. Cambridge texts in the history of political thought (pp. 39–155, 2nd ed.). Cambridge: Cambridge University Press.Google Scholar
Griffin, D. R. (1974). Listening in the dark: The acoustic orientation of bats and men. New York: Dover Publications.Google Scholar
Hughes, R. N., Watson, G. D. R., Petter, G. A., Kim, N., Bakhurin, K. I., & Yin, H. H. (2019). Precise coordination of three-dimensional rotational kinematics by ventral tegmental area GABAergic neurons. Current Biology, 29, 112.Google Scholar
Ioannidis, J. P. (2012). Why science is not necessarily self-correcting. Perspectives on Psychological Science, 7, 645654.Google Scholar
Jagacinski, R., & Flach, J. (2002). Control theory for humans: Quantitative approaches to modeling performance. Hillsdale: Erlbaum.Google Scholar
James, W. (1890). The principles of psychology. New York: Henry Holt and Company. (Republished in 1950 by Dover Publications, Inc., Mineola, NY.)Google Scholar
Kaufman, L., & Rousseeuw, P. J. (2005). Finding groups in data: An introduction to cluster analysis. Hoboken: Wiley.Google Scholar
Keysers, C. (2010). Mirror neurons. Current Biology, 19, 971973.Google Scholar
Kim, N., Barter, J. W., Sukharnikova, T., & Yin, H. H. (2014). Striatal firing rate reflects head movement velocity. The European Journal of Neuroscience, 40(10), 34813490. https://doi.org/10.1111/ejn.12722.Google Scholar
Kim, N., Li, H. E., Hughes, R. N., Watson, G. D. R., Gallegos, D., West, A. E., Kim, I. H., & Yin, H. H. (2019). A striatal interneuron circuit for continuous target pursuit. Nature Communications, 10, Article number: 2715.Google Scholar
Koestler, A. (1990a). The sleepwalkers: A history of man's changing vision of the universe. London: Penguin Group.Google Scholar
Koestler, A. (1990b). The ghost in the machine. London: Penguin Books.Google Scholar
Koshland, D. (1980). Behavioral chemotaxis as a model behavioral system. New York: Raven.Google Scholar
Labov, W. (1963). The social motivation of a sound change. WORD, 19, 273309.Google Scholar
Liberman, R. P. (1971). Behavior modification with chronic mental patients. Journal of Chronic Diseases, 23, 803806.Google Scholar
Lorenz, K. (1970). Studies in animal and human behaviour (Vol. 1, Martin, R., Trans.). London: Methuen.Google Scholar
Lovaas, O. I. (1987). Behavioral treatment and normal educational and intellectual functioning in young autistic children. Journal of Consulting and Clinical Psychology, 55, 39.Google Scholar
Marken, R. S. (1980). The cause of control movements in a tracking task. Perceptual and Motor Skills, 51, 755758.Google Scholar
Marken, R. S. (1985). Selection of consequences: Adaptive behavior from random reinforcement. Psychological Reports, 56, 379383.Google Scholar
Marken, R. S. (1986). Perceptual organization of behavior: A hierarchical control model of coordinated action. Journal of Experimental Psychology: Human Perception & Performance, 12, 6776.Google Scholar
Marken, R. S. (1989). Behavior in the first degree. In Hershberger, W. (Ed.), Volitional action: Conation and control (pp. 299314). North-Holland: Elsevier.Google Scholar
Marken, R. S. (1990). Spreadsheet analysis of a hierarchical control system model of behavior. Behavior Research Methods, Instruments, & Computers, 22, 349359.Google Scholar
Marken, R. S. (1991). Degrees of freedom in behavior. Psychological Science, 2, 92100.Google Scholar
Marken, R. S. (1999). PERCOLATe: Perceptual Control Analysis of Tasks. International Journal of Human-Computer Studies, 50, 481487.Google Scholar
Marken, R. S. (2001). Controlled variables: Psychology as the center fielder views it. American Journal of Psychology, 114, 259281.CrossRefGoogle Scholar
Marken, R. S. (2002a). Looking at behavior through control theory glasses. Review of General Psychology, 6, 260270.Google Scholar
Marken, R. S. (2002b). Hierarchical behavior of perception. In Marken, R. (Ed.). More mind readings: Methods and models in the study of purpose (pp. 85–112). Chapel Hill: Newview.Google Scholar
Marken, R. S. (2005a). Optical trajectories and the informational basis of fly ball catching. Journal of Experimental Psychology: Human Perception & Performance, 31(3), 630634.Google Scholar
Marken, R. S. (2005b). A model-based approach to prioritizing medical safety practice. In Henriksen, K., Battles, J., Marks, E., & Lewin, D. (Eds.), Advances in patient safety: From research to implementation. Vol. 2, Concepts and methodology. AHRQ Publication No. 05-0-21-2 (pp. 409424). Rockville: Agency for Healthcare Research and Quality.Google Scholar
Marken, R. S. (2013). Testing for controlled variables: A model-based approach to determining the perceptual basis of behavior. Attention, Perception and Psychophysics, 76, 255263.CrossRefGoogle Scholar
Marken, R. S. (2014). Doing research on purpose: A control theory approach to experimental psychology. St. Louis: Newview.Google Scholar
Marken, R. S. (2020). Understanding purposeful systems: A comparison of the engineering and psychological approaches to control. In Mansell, W. (Ed.), The interdisciplinary handbook of perceptual control theory (pp 9–23). Holland: Elsevier.Google Scholar
Marken, R. S., & Carey, T. A. (2014). Understanding the change process involved in solving psychological problems: A model-based approach to understanding how psychotherapy works. Clinical Psychology & Psychotherapy, 22, 580590. https://doi.org/10.1002/cpp.1919.Google Scholar
Marken, R. S., & Carey, T. A. (2015). Controlling people: The paradoxical nature of being human. Samford Valley: Australian Academic Press.Google Scholar
Marken, R. S., & Horth, B. (2011). When causality does not imply correlation: More spadework at the foundations of scientific psychology. Psychological Reports, 108, 112.Google Scholar
Marken, R. S., Mansell, W., & Khatib, A. (2013). Motor control as the control of perception. Perceptual and Motor Skills, 117, 236247.Google Scholar
Marken, R. S., & Powers, W. T. (1989a). Levels of intention in behavior. In Hershberger, W. (Ed.), Volitional action: Conation and control (pp. 299314). North-Holland: Elsevier.Google Scholar
Marken, R. S., & Powers, W. T. (1989b). Random-walk chemotaxis: Trial-and-error as a control process. Behavioral Neuroscience, 103, 13481355.Google Scholar
McBeath, M. K., Shaffer, D. M., & Kaiser, M. K. (1995). How baseball outfielders determine where to run to catch fly balls. Science, 268, 569573.Google Scholar
McClelland, K. (2004). The collective control of perceptions: Constructing order from conflict. International Journal of Human-Computer Studies, 60, 6599.Google Scholar
McPhail, C., Powers, W. T., & Tucker, C. W. (1992). Simulating individual and collective action in temporary gatherings. Social Science Computer Review, 10, 128.Google Scholar
McSweeney, F. K., & Murphy, E. S. (2014). The Wiley Blackwell handbook of operant and classical conditioning. New York: Wiley.Google Scholar
Mechsner, F., Kerzel, K., Knoblich, G., & Prinz, W. (2001). Perceptual basis of bimanual coordination. Nature, 414, 6973.Google Scholar
Miller, G. A., & Heise, G. A. (1950). The trill threshold. Journal of the Acoustical Society of America, 22, 637638.Google Scholar
Neisser, U. (1967). Cognitive psychology. Englewood Cliffs: Prentice-Hall.Google Scholar
Pavlov, I. P. (1928). Lectures on conditioned reflexes (Gantt, W. H., Trans.). London: Allen and Unwin.Google Scholar
Petrie, H. G. (1981). The dilemma of enquiry and learning. Chicago: University of Chicago Press.Google Scholar
Piaget, J., & Cook, M. T. (1952). The origins of intelligence in children. New York: International University Press.Google Scholar
Pierce, D. W., & Cheney, C. D. (2013). Behavior analysis and learning. New York: Psychology Press.Google Scholar
Plooij, F. X. (1987). Infant-ape behavioral development, the control of perception, types of learning and symbolism. In Montenegro, J., Tryphon, A., & Dionnet, S. (Eds.), Symbolism and knowledge (pp. 3364). Geneva: Archives Jean Piaget Foundation.Google Scholar
Plooij, F. X. (2013). The trilogy of mind. In Heimann, M. (Ed.), Regression periods in human infancy (pp. 185205). Mahwah: Erlbaum.Google Scholar
Plooij, F. X., & van de Rijt-Plooij, H. H. C. (1990). Developmental transitions as successive reorganizations of a control hierarchy. American Behavioral Scientist, 34, 6780.Google Scholar
Powers, W. T. (1971). A feedback model for behavior: Analysis of a rat experiment. Behavioral Science, 16, 558563.Google Scholar
Powers, W. T. (1973a). Feedback: Beyond behaviorism. Science, 179, 351356.Google Scholar
Powers, W. T. (1973b). Behavior: The control of perception. Chicago: Aldine De Gruyter.Google Scholar
Powers, W. T. (1978). Quantitative analysis of purposive systems: Some spadework at the foundations of experimental psychology. Psychological Review, 85, 417435.Google Scholar
Powers, W. T. (1979a). The nature of robots: Part 3: A closer look at human behavior. BYTE, August, p. 109.Google Scholar
Powers, W. T. (1979b). The nature of robots: Part 4: Testing for controlled variables. BYTE, September.Google Scholar
Powers, W. T. (1979c). A cybernetic model for research in human development. In Ozer, M. (Ed.), A cybernetic approach to the assessment of children: Toward a more humane use of human beings (pp. 1166). New York: Routledge.Google Scholar
Powers, W. T. (1980). A systems approach to consciousness. In Davidson, R. J. & Davidson, J. M. (Eds.), The psychobiology of consciousness (pp. 217242). New York: Plenum Press.Google Scholar
Powers, W. T. (1985). Comment on the “phantom plateau”. Perceptual and Motor Skills, 61, 329330.Google Scholar
Powers, W. T. (1989) Quantitative measurement of volition. In Hershberger, W. (Ed.). Volitional Action: Conation and control (pp. 315–332). North-Holland: Elsevier Science Publishers.Google Scholar
Powers, W. T. (1990). Control theory and statistical generalizations. American Behavioral Scientist, 34, 2431.Google Scholar
Powers, W. T. (1992). Post to Control Systems Group Network (CSGnet). , June 25, 1992.Google Scholar
Powers, W. T. (2005a). Living control systems III: The fact of control. Bloomfield, NJ: Benchmark Publications.Google Scholar
Powers, W. T. (2005b). Behavior: The control of perception (2nd ed.). Bloomfield: Benchmark Publications.Google Scholar
Powers, W. T., Clark, R. K., & McFarland, R. L. (1960a). A general feedback theory of behavior: Part I. Perceptual and Motor Skills, 11, 7188.Google Scholar
Powers, W. T., Clark, R. K., & McFarland, R. L. (1960b). A general feedback theory of behavior: Part II. Perceptual and Motor Skills, 11, 309323.Google Scholar
Premack, D., & Premack, A. (1984). The mind of an ape. New York: W. W. Norton.Google Scholar
Reynolds, C. W. (1987). Flocks, herds and schools: A distributed behavioral model. ACM SIGGRAPH Computer Graphics, 21, 2534.Google Scholar
Richard, P. B. (1983). Mechanisms and adaptation in the constructive behaviour of the beaver (C. fiber L.). Acta Zoologica Fennica, 174, 105108.Google Scholar
Rijt-Plooij, H. H. C., & van de and Plooij, F. X. (1992). Infantile regressions: Disorganization and the onset of transition periods. Journal of Reproductive and Infant Psychology, 10(3), 129149.Google Scholar
Robertson, R., & Glines, L. A. (1985). The phantom plateau returns. Perceptual and Motor Skills, 61, 5564.Google Scholar
Rosenbaum, D. A. (1987). Hierarchical organization of motor programs. In Wise, S. P. (Ed.), Higher brain functions: Recent explorations of the brain's emergent properties (pp. 4566). New York: Wiley.Google Scholar
Rosenblueth, A., Wiener, N., & Bigelow, J. (1943). Behavior, purpose and teleology. Philosophy of Science, 10, 1824.Google Scholar
Runkel, P. J. (1990). Casting nets and testing specimens. New York: Praeger.Google Scholar
Runkel, P. J. (2003). People as living things: The psychology of perceptual control. Hayward: Living Control Systems Publishing.Google Scholar
Scholte, T. (2019). Modeling workplace conflict with systems theatre. Journal on Systemics, Cybernetics and Informatics, 17, 3138.Google Scholar
Shaffer, D. M., Krauchunas, S. M., Eddy, M., & McBeath, M. K. (2004). How dogs navigate to catch frisbees. Psychological Science, 15, 437441.Google Scholar
Shaffer, D. M., Marken, R. S., Dolgov, I., & Maynor, A. B. (2013). Chasin’ choppers: Using unpredictable trajectories to test theories of object interception. Attention, Perception and Psychophysics, 75, 14961506.Google Scholar
Shaffer, D. M., Marken, R. S., Dolgov, I., & Maynor, A. B. (2015). Catching objects thrown to oneself: Testing the generality of a control strategy for object interception. Perception, 44, 400409.Google Scholar
Shepard, R. N., & Metzler, J. (1971). Mental rotation of three-dimensional objects. Science, 171, 701703.Google Scholar
Sheridan, T. B., & Ferrell, W. R. (1974). Man-machine systems: Information, control, and decision models of human performance. Cambridge: MIT Press.Google Scholar
Skinner, B. F. (1971). Beyond freedom and dignity. Indianapolis: Hackett Publishing.Google Scholar
Sternberg, S. (1969). The discovery of processing stages: Extensions of Donders' method. Acta Psychologica, 30, 276315.Google Scholar
Tiwari, M. (2011). Science behind human saliva. Journal of Natural Science, Biology, and Medicine, 2, 5358. https://doi.org/10.4103/0976-9668.82322.Google Scholar
Tolman, E. C. (1922). A new formula for behaviorism. Psychological Review, 29, 4453.Google Scholar
Turing, A. (1948). Intelligent machinery. Reprinted in Turing, A. M. (1996). “Intelligent machinery, a heretical theory”. Philosophia Mathematica, 4(3), 256260. https://doi.org/10.1093/philmat/4.3.256.Google Scholar
Turvey, M. T., Shaw, R. E., & Mace, N. (1978). Issues in the theory of action: Degrees of freedom, coordinative structures and coalitions. In Requin, J. (Ed.), Attention and performance VII (pp. 557595). Hillsdale: Erlbaum.Google Scholar
Vanderijt, H., & Plooij, F. (2003). The wonder weeks. Emmaus, Pennsylvania: Rodale.Google Scholar
Verhave, T. (1959). Technique for differential reinforcement of rate of avoidance responding. Science, 129, 959960.Google Scholar
Warren, R. M., Obusek, C. J., Farmer, R. M., & Warren, R. P. (1969). Auditory sequence: Confusion of patterns other than speech or music. Science, 164, 586587.Google Scholar
Weimerskirch, H., Martin, J., Clerquin, Y., Alexandre, P., & Jiraskova, S. (2001). Energy saving in flight formation. Nature, 413, 697698.Google Scholar
Wickens, C. D., Hollands, J. G., Parasuraman, R., & Banbury, S. (2012). Engineering psychology and human performance (4th ed.). Upper Saddle River: Pearson.Google Scholar
Willett, A. B. S., Marken, R. S., Parker, M. G., & Mansell, W. (2017). Control blindness: Why people can make incorrect inferences about the intentions of others. Attention, Perception & Performance, 79, 841849. https://doi.org/10.3758/s13414-016-1268-3.Google Scholar
Yin, H. (2013). Restoring purpose to behavior. In Baldassarre, G. & Mirolli, M. (Eds.), Computational and robotic models of the hierarchical organization of behavior (pp. 319347). Berlin: Springer-Verlag.Google Scholar
Yin, H. H. (2016). The basal ganglia and hierarchical control in voluntary behavior. In Soghomonian, J.-J. (Ed.), The basal ganglia (pp. 513566). New York: Springer.Google Scholar
Yin, H. H. (2017). The basal ganglia in action. Neuroscientist, 23, 299313.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Bibliography
  • Richard S. Marken, University of California, Los Angeles
  • Book: The Study of Living Control Systems
  • Online publication: 02 February 2021
  • Chapter DOI: https://doi.org/10.1017/9781108752138.010
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Bibliography
  • Richard S. Marken, University of California, Los Angeles
  • Book: The Study of Living Control Systems
  • Online publication: 02 February 2021
  • Chapter DOI: https://doi.org/10.1017/9781108752138.010
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Bibliography
  • Richard S. Marken, University of California, Los Angeles
  • Book: The Study of Living Control Systems
  • Online publication: 02 February 2021
  • Chapter DOI: https://doi.org/10.1017/9781108752138.010
Available formats
×