Book contents
- Frontmatter
- Contents
- Acknowledgments
- Introduction
- 1 Epistemology without Knowledge and without Belief
- 2 Abduction—Inference, Conjecture, or an Answer to a Question?
- 3 A Second-Generation Epistemic Logic and its General Significance
- 4 Presuppositions and Other Limitations of Inquiry
- 5 The Place of the a priori in Epistemology
- 6 Systems of Visual Identification in Neuroscience: Lessons from Epistemic Logic
- 7 Logical Explanations
- 8 Who Has Kidnapped the Notion of Information?
- 9 A Fallacious Fallacy?
- 10 Omitting Data—Ethical or Strategic Problem?
- Index
- References
8 - Who Has Kidnapped the Notion of Information?
Published online by Cambridge University Press: 05 June 2012
Book contents
- Frontmatter
- Contents
- Acknowledgments
- Introduction
- 1 Epistemology without Knowledge and without Belief
- 2 Abduction—Inference, Conjecture, or an Answer to a Question?
- 3 A Second-Generation Epistemic Logic and its General Significance
- 4 Presuppositions and Other Limitations of Inquiry
- 5 The Place of the a priori in Epistemology
- 6 Systems of Visual Identification in Neuroscience: Lessons from Epistemic Logic
- 7 Logical Explanations
- 8 Who Has Kidnapped the Notion of Information?
- 9 A Fallacious Fallacy?
- 10 Omitting Data—Ethical or Strategic Problem?
- Index
- References
Summary
In this day and age, the notion of information should be everybody's concern. Ours is supposed to be the information age, and we all share, in different degrees, the problem of coping with a deluge of information flooding over us. Our life is increasingly dominated by computers, which are nothing but machines for processing information. Information can even serve as a commodity (utility) in economics and decision theory. Hence it is important for each of us to master this concept intellectually and to have ways of gaining an overview over the different kinds of information we receive.
To exaggerate but a little, almost everybody has in fact gotten into the act of discussing what they call “information,” except for philosophers. There are communication theorists à la Claude Shannon (Shannon 1948; Shannon and Weaver, 1949; Hartley 1928) and there are logico-linguistic theorists of semantic information like Yehoshua Bar-Hillel (1964). There are uses of the concept of information in science (see, e.g., Brillouin 1956) and in psychology (see, e.g., Attneave 1959), not to mention the role of genetic information in biology. Last but not least, there are computer scientists who are trying to use the tools of their trade to deal with what they call information and what they relate closely to computational complexity. They include prominently Kolmogorov and Chaitin, whose works are listed in the references.
- Type
- Chapter
- Information
- Socratic EpistemologyExplorations of Knowledge-Seeking by Questioning, pp. 189 - 210Publisher: Cambridge University PressPrint publication year: 2007
References
, 1959, Applications of Information Theory to Psychology, Holt, Rinehart and Winston, New York.Google Scholar
, 1964, Language and Information: Selected Essays on Their Theory and Application, Addison-Wesley, Reading, MA, and Jerusalem Academic Press, Jerusalem.Google Scholar
, 1955, “An Examination of Information Theory,” Philosophy of Science, vol. 22, pp. 86–105. Reprinted in Bar-Hillel (1964), ch. 16.CrossRefGoogle Scholar
, 1952, “Semantic Information and Its Measures,” Transactions of the Tenth Conference on Cybernetics, Josiah Macy Jr. Foundation, New York, pp. 33–48. Reprinted in Bar-Hillel (1964), ch. 17.Google Scholar
, 1982, “The Thermodynamics of Computation – A Review,” International Journal of Theoretical Physics, vol. 12, pp. 905–940.CrossRefGoogle Scholar
, and , 1989, Computability and Logic, third edition, Cambridge University Press, Cambridge.Google Scholar
Carnap, Rudolf and Yehoshua Bar-Hillel, 1952, “An Outline of a Theory of Semantic Information.” Technical Report No. 247, M.I.T. Research Laboratory in Electronics. Reprinted in Bar-Hillel (1964), ch. 15.
, 1987, Algorithmic Information Theory, Cambridge University Press, Cambridge.CrossRefGoogle Scholar
, 1982(a), “Algorithmic Information Theory,” Encyclopedia of Statistical Sciences, vol. 1, John Wiley, New York, pp. 38–41.Google Scholar
, 1982(b), “Gödel's Theorem and Information,” International Journal of Theoretical Physics, vol. 22, pp. 941–954.CrossRefGoogle Scholar
, 1974, “Information-Theoretic Limitations of Formal Systems,” Journal of the ACM, vol. 21, pp. 403–424.CrossRefGoogle Scholar
, and , 1989, “Kolmogorov's Contributions to Information Theory and Algorithmic Complexity,” The Annals of Probability, vol. 17, no. 3, pp. 840–865.CrossRefGoogle Scholar
, 1973, “Hilbert's Tenth Problem Is Unsolvable,” The American Mathematical Monthly, vol. 80, no. 3, pp. 233–269.CrossRefGoogle Scholar
Davis, Martin, 1978, “What Is a Computation?” in , editor, Mathematics Today, Springer-Verlag, Berlin, pp. 241–267.Google Scholar
, and , 1991, “Tautology: How Not to Use the Word,” Synthese, vol. 87, pp. 23–49.CrossRefGoogle Scholar
Ford, Joseph, 1989, “What Is Chaos and Should We Be Mindful of It?” in The New Physics, , editor, Cambridge University Press, Cambridge, pp. 348– 371.Google Scholar
Gödel, Kurt, 1931, “Über formal unentscheidbare Sätze der Principia Mathematica und verwandter Systeme I,” Monatshefte für Mathematik Physik, vol. 38, pp. 173–198. Reprinted in English translation in K. Gödel: Collected Works, vol. I: Publications 1929–1936, edited by et al., Oxford University Press, New York and Oxford, pp. 144–195.Google Scholar
, 1928, “Transmission of Information,” Bell Technical Journal, vol. 7, pp. 535–563.CrossRefGoogle Scholar
, 2004, “A Fallacious Fallacy?” Synthese, vol. 140, pp. 25–35. And as Chapter 9 in this volume.CrossRefGoogle Scholar
Hintikka, Jaakko, 2002, “A Distinction Too Few or Too Many: A Vindication of the Analytic vs. Synthetic Distinction,” in Constructivism and Practice: Toward a Historical Epistemology, , editor, Rowman and Littlefield, Lanham, Maryland, pp. 47–74.Google Scholar
, 1993, “On Proper (Popper?) and Improper Uses of Information in Epistemology,” Theoria, vol. 59, pp. 158–165.CrossRefGoogle Scholar
Hintikka, Jaakko, 1970(a), “On Semantic Information,” in Information and Inference, and , editors, D. Reidel, Dordrecht, pp. 3–27.CrossRefGoogle Scholar
Hintikka, Jaakko, 1970(b), “Surface Information and Depth Information,” in Information and Inference, and , editors, Reidel, Dordrecht, pp. 263–297.CrossRefGoogle Scholar
Hintikka, Jaakko, 1968, “The Varieties of Information and Scientific Explanation,” in Logic, Methodology, and Philosophy of Science III, and , editors, North-Holland, Amsterdam, 311–331.Google Scholar
Hintikka, Jaakko, 1965, “Distributive Normal Forms in First-Order Logic,” in Formal Systems and Recursive Functions, and , editors, North-Holland, Amsterdam, pp. 47–90.Google Scholar
, 1953, Distributive Normal Forms in the Calculus of Predicates (Acta Philosophica Fennica, vol. 6) Societas Philosophica Fennica, Helsinki.Google Scholar
, and , 2005, “Toward a Theory of the Process of Explanation,” Synthese, vol. 143, pp. 5–61.Google Scholar
Hintikka, Jaakko, and Ilkka Niiniluoto, 1980, “An Axiomatic Foundation for the Logic of Inductive Generalization,” in Studies in Inductive Logic and Probability, vol. 2, , editor, University of California Press, Berkeley and Los Angeles, pp. 157–181.Google Scholar
, , and , editors, 1982, Judgment under Uncertainty: Heuristics and Biases, Cambridge University Press, Cambridge.CrossRefGoogle Scholar
Köhler, Eckehart, 2001, “Why von Neumann Rejected Carnap's Dualism of Information Concepts,” in John von Neumann and the Foundations of Quantum Physics, and , editors, Kluwer Academic, Dordrecht, 2001, pp. 97–134.CrossRefGoogle Scholar
, 1970/1983, “Combinatorial Foundations of Information Theory and the Calculus of Probabilities,” Russian Mathematical Surveys, vol. 38, no. 4, pp. 29–40. (Text written in 1970.)CrossRefGoogle Scholar
, 1968, “Logical Basis for Information Theory and Probability Theory,” IEEE Transactions on Information Theory, IT-14, pp. 662–664.CrossRefGoogle Scholar
, 1965, “Three Approaches for Defining the Concept of Information Quantity,” Problems of Information Transmission, vol. 1, no.1, pp. 1–7.Google Scholar
Leibniz, Gottfried Wilhelm, Freiherr von, 1982, Nouveaux essays sur l'entendement humain: New Essays on Human Understanding, translated and edited by and , Cambridge University Press, New York.Google Scholar
, and , 1993, An Introduction to Kolmogorov Complexity and Its Applications, Springer-Verlag, New York.CrossRefGoogle Scholar
Majer, Ulrich, 2001, “The Axiomatic Method and the Foundations of Science: Historical Roots of Mathematical Physics in Göttingen (1900–1930), in John von Neumann and the Foundations of Quantum Physics, and , editors, Kluwer Academic, Dordrecht, 2001, pp. 11–33.CrossRefGoogle Scholar
Paris, Jeff and Leo Harrington, 1977, “A Mathematical Incompleteness in Peano Arithmetic,” in , editor, Handbook of Mathematical Logic, North-Holland, Amsterdam, pp. 1133–1142.Google Scholar
, 1987, “Gödel's Theorem,” in W. V. Quine: Quiddities, The Belknap Press of Harvard University Press, Cambridge, MA, ch. 19, pp. 376–388.Google Scholar
, 1998(a), Complexity, Information, and Incompleteness: Reports from the Department of Philosophy, University of Helsinki.Google Scholar
, 1998(b), “On Interpreting Chaitin's Incompleteness Theorem,” Journal of Philosophical Logic, vol. 27, pp. 569–586.CrossRefGoogle Scholar
, 1998(c), “Algorithmic Information Theory and Undecidability,” Human and Artificial Information Processing – Proceedings of SteP'98, Publications of the Finnish Artificial Intelligence Society, Jyväskylä, 1998, pp. 1–10.Google Scholar
, 1997, “The Problem of the Simplest Diophantine Representation,” Nordic Journal of Philosophical Logic, vol. 2, pp. 47–54.Google Scholar
, and , editors, 2001, John von Neumann and the Foundations of Quantum Physics, Kluwer Academic, Dordrecht.CrossRefGoogle Scholar
., 1958, “Gödel Numbering of Partial Recursive Functions,” Journal of Symbolic Logic, vol. 23, pp. 331–341.CrossRefGoogle Scholar
, 1967, Theory of Recursive Functions and Effective Computability, McGraw-Hill, New York.Google Scholar
, 1967, “Difficulties in the Theory of Personal Probability,” Philosophy of Science, vol. 34, pp. 305–310.CrossRefGoogle Scholar
, 1948, “A Mathematical Theory of Communication,” Bell System Technical Journal, vol. 27, pp. 379–423, 623–656.CrossRefGoogle Scholar
, and , 1949, The Mathematical Theory of Communication, University of Illinois Press, Urbana, IL.Google Scholar
, 1988, Deterministic Chaos: An Introduction, second revised edition, VCH Publishers, New York.Google Scholar
, 1964, “A formal theory of inductive inference,” Information and Control, vol. 7, pp. 1–22, 224–254.CrossRefGoogle Scholar
, 1993, Randomness and Undecidability in Physics, World Scientific, Singapore.CrossRefGoogle Scholar
(1936–7), “On Computable Numbers, with an Application to the Entscheidungsproblem,” Proceedings of the London Mathematical Society (2), vol. 42, pp. 230–265; correction, ibid, 43, pp. 544–546.Google Scholar
, and , 1983, “Extensional Versus Intuitive Reasoning: The Conjunctive Fallacy in Probability Judgment,” Psychological Review, vol. 90, pp. 293–315.CrossRefGoogle Scholar
, 2002, “On the Semantics of Information and Independence,” Logic Journal of the Interest Group in Pure and Applied Logic, vol. 10, pp. 337–350.Google Scholar
van Lambalgen, Michiel, 1987, “Random Sequences,” PhD dissertation, University of Amsterdam.
Walk, Kurt, 1966, “Simplicity, Entropy, and Inductive Logic,” in Aspects of Inductive Logic, and , editors, North-Holland, Amsterdam, 1966, pp. 66–80.Google Scholar
, 1987, “Entropy and Information: Suggestions for Common Language,” Philosophy of Science, vol. 54, pp. 176–193.CrossRefGoogle Scholar
, editor, 1990, Complexity, Entropy, and the Physics of Information, SFI Studies in the Sciences of Complexity, vol. VIII, Addison-Wesley.Google Scholar
, and , 1970, “The Complexity of Finite Objects and the Development of the Concepts of Information and Randomness by Means of the Theory of Algorithms,” Russian Mathematical Surveys, vol. 25, pp. 83–124.CrossRefGoogle Scholar
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