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Effective Epistemology, Psychology, and Artificial Intelligence

  • Kevin Kelly
  • Herbert Simon
Chapter
Part of the Synthese Library book series (SYLI, volume 211)

Abstract

In this paper, I discuss the epistemological relevance of computation theory. First, I dispense with standard arguments against the epistemological interest of so-called “discovery methods”, which are procedures that generate good hypotheses. Then I examine the importance of computational concepts in the theory of justified belief. Finally, I compare the aims and methods of a computationally informed epistemology with those of the related fields of cognitive psychology and artificial intelligence. I conclude that artificial intelligence is most interesting when viewed as an approach to effective epistemology rather than as an adjunct to cognitive psychology.

Keywords

Discovery Method Justify Belief Inductive Logic Rational Belief Ideal Agent 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Kluwer Academic Publishers 1990

Authors and Affiliations

  • Kevin Kelly
    • 1
  • Herbert Simon
  1. 1.Department of PhilosophyCarnegie Mellon UniversityPittsburghUSA

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