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Cited by 263

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Précis of Knowledge and the Flow of Information

Dretske, Fred I.·1983·Behavioral and Brain Sciences

Abstract

A theory of information is developed in which the informational content of a signal (structure, event) can be specified. This content is expressed by a sentence describing the condition at a source on which the properties of a signal depend in some lawful way. Information, as so defined, though perfectly objective, has the kind of semantic property (intentionality) that seems to be needed for an analysis of cognition. Perceptual knowledge is an information-dependent internal state with a content corresponding to the information producing it. This picture of knowledge captures most of what makes knowledge an important cpistcmological notion. It also avoids many of the problems infecting traditional justificational accounts of knowledge (knowledge as [justified, true belief’). Our information pickup systems are characterized in terms of the way they encode incoming information (perception) for further cognitive processing. Our perceptual experience is distinguished from our perceptual beliefs by the different way sensory information is encoded in these internal structures. Our ropositional attitudes – those (unlike knowledge) having a content that can be either true or false (e.g., belief) – are described in terms of the way internal (presumably neural) structures acquire during learning a certain information-carrying role. The content of these structures (whether true or false) is identified with the kind of information they were developed to carry

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Show all 47 references

Research works printed but not linked: 21

  1. Erman, 1980, Trends itt Speech Recognition, 361
  2. Haber, 1975, The Proceedings and papers of the 11th annual meeting of the Chicago Linguistics Society, 240
  3. Carnap, 1971, Inductive logic and probability
  4. Kyburg, 1961, Probability and the logic of rational belief
  5. (1980) The enterprise of knowledge. MIT Press. [IL]
  6. Good, 1977, Machine intelligence, 139
  7. Good, 1959, Could a machine make probability judgments?, Computers and Automation, 8, 14
  8. Cherry, 1951, A history of the theory of information, Proceedings of the Institute of Electrical Engineers, 98, 383
  9. Carter, 1957, Uncertainty and business decisions, 20
  10. Lehrer, 1970, Induction, acceptance, and rational belief
  11. Good, 1966, A derivation of the probabilistic explication of information, journal of the Royal Statistical Society, 28, 578, 10.1111/j.2517-6161.1966.tb00668.x · doi:10.1111/j.2517-6161.1966.tb00668.x
  12. Haber, 1976, Foundation of Language, 14, 211
  13. (1974) Information processing. In: Handbook of perception. vol. 1.historical and philosophical roots of perception, ed. Carterette E. C. & Friedman M. P. , pp. 313–33. Academic Press. [RNH]
  14. 10.1086/289062 · doi:10.1086/289062
  15. Kyburg, 1965, Proceedings of the 1964 International Congress for Logic, Methodology, and Philosophy of Science
  16. 10.2307/2023571 · doi:10.2307/2023571
  17. Michie, 1977, Machine intelligence, 151
  18. Uhr, 1973, Pattern recognition, learning, and thought
  19. Weaver, 1948, Probability, rarity, interest and surprise, Scientific Monthly, 67, 390
  20. Rozeboom, 1983, Do mental systems have a scientific future?, Annals of Theoretical Psychology, 3
  21. (1967 b) Information and inference. Synthèse 17:369–91. [IL] · doi:10.1007/bf00485040

Cited by

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Metadata

Authors
Dretske, F. I.
Venue
Behavioral and Brain Sciences
Published
1983-03
Volume
6
Issue
1
Pages
55-63
ISSN
  • 0140-525X (ISSN-L)
  • 1469-1825
OpenAlex
W2089020888
Cited by
263
References
47
FWCI
179.09
Type
journal article
Language
en
Open access
closed

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Dretske, F. I. (1983). Précis of Knowledge and the Flow of Information. Behavioral and Brain Sciences. https://doi.org/10.1017/s0140525x00014631

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