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Kategorie szczegółowe BISAC

Inference on the Low Level: An Investigation Into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition

ISBN-13: 9781402024924 / Angielski / Twarda / 2004 / 386 str.

Hannes Leitgeb
Inference on the Low Level: An Investigation Into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition Leitgeb, Hannes 9781402024924 Kluwer Academic Publishers - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Inference on the Low Level: An Investigation Into Deduction, Nonmonotonic Reasoning, and the Philosophy of Cognition

ISBN-13: 9781402024924 / Angielski / Twarda / 2004 / 386 str.

Hannes Leitgeb
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This monograph provides a new account of justified inference as a cognitive process. In contrast to the prevailing tradition in epistemology, the focus is on low-level inferences, i.e., those inferences that we are usually not consciously aware of and that we share with the cat nearby which infers that the bird which she sees picking grains from the dirt, is able to fly. Presumably, such inferences are not generated by explicit logical reasoning, but logical methods can be used to describe and analyze such inferences. Part 1 gives a purely system-theoretic explication of belief and inference. Part 2 adds a reliabilist theory of justification for inference, with a qualitative notion of reliability being employed. Part 3 recalls and extends various systems of deductive and nonmonotonic logic and thereby explains the semantics of absolute and high reliability. In Part 4 it is proven that qualitative neural networks are able to draw justified deductive and nonmonotonic inferences on the basis of distributed representations. This is derived from a soundness/completeness theorem with regard to cognitive semantics of nonmonotonic reasoning. The appendix extends the theory both logically and ontologically, and relates it to A. Goldman's reliability account of justified belief. This text will be of interest to epistemologists and logicians, to all computer scientists who work on nonmonotonic reasoning and neural networks, and to cognitive scientists.

Kategorie:
Nauka, Filozofia
Kategorie BISAC:
Philosophy > Logic
Philosophy > Epistemology
Computers > Artificial Intelligence - General
Wydawca:
Kluwer Academic Publishers
Seria wydawnicza:
Applied Logic
Język:
Angielski
ISBN-13:
9781402024924
Rok wydania:
2004
Wydanie:
2004
Numer serii:
000107238
Ilość stron:
386
Waga:
0.74 kg
Wymiary:
23.88 x 16.51 x 2.54
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Bibliografia

From the reviews:

"The ambitious goal of the book is the formal development of realistic (in particular: dynamic and neuronal) models of the cognitive process of reasoning. ... In sum, Leitgeb's book contains highly original and far-reaching results concerning the relation between three important areas: the epistemology of belief, the logic of reasoning, and the structure and dynamics of neuronal networks. The book is recommended for every reader who is interested in at least one of these areas ... ." (Gerhard Schurz, Journal for General Philosophy of Science, Vol. 38, 2007)

1. Introduction. 2. Preliminaries. I: The Explication of Monotonic and Nonmonotonic Inference.- 3. Belief. 4. Inference. II: The Justification of Monotonic and Nonmonotonic Inference. -5. General Remarks on Justification and Justified Belief. 6. An Informal Account of Our Theory of Justified Inference. 7. A Discussion of Reliability. 8. A Theory of Justified Inference. III: The Logic of Justified Monotonic and Nonmonotonic Inference.- 9. The Semantics of Deductive and Nonmonotonic Logic. 10. Systems of Deductive and Nonmonotonic Logic. 11. Soundness and Completeness Results. 12. Further Consequences for Justified Inference. IV: The Cognition of Justified Monotonic and Nonmonotonic Inference by Low-Level Agents. -13. Introductory Remarks. 14. Inhibition Nets as Simple Neural Networks. 15. Interpreted Inhibition Net Agents. 16. Cumulative-Ordered Interpreted Inh. Net Agents and the System CL. 17. Cumulative-Ordered Interpreted Inhibition Net Agents as Ideal Agents. 18. Inhibition Nets and Other Forms of Nonmonotonic Reasoning. 19. Inhibition Nets and Artificial Neural Networks. 20. Discussion. V: Appendix.- 21. Digression on States, Dispositions, Causation, Processes. 22. Goldman's Reliability Account of Justified Belief. 23. A Sketch of Logic Programming. 24. Preferential Interpreted Inhibition Net Agents and the System P. 25. Cumulative Interpreted Inhibition Net Agents and the System PM. 26. Simple Preferential Interpreted Inhibition Net Agentsand the System M.

Hannes Leitgeb is Professor at the Departments of Philosophy and Mathematics at the University of Bristol. He is a Managing Editor of Studia Logica, an Associate Editor of Erkenntnis, a Subject Editor for the Stanford Encyclopedia of Philosophy, and an Editor of the Collected Works of Rudolf Carnap. He is the author of numerous papers and books on logic, philosophy of mathematics, philosophy of science, epistemology, and philosophy of language.

Leitgeb, Hannes Hannes Leitgeb is a professor in the departments o... więcej >


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