An Aristotelian Account of Induction

An Aristotelian Account of Induction

Author: Louis F. Groarke

Publisher: McGill-Queen's Press - MQUP

Published: 2009-11-01

Total Pages: 480

ISBN-13: 0773575766

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In An Aristotelian Account of Induction Groarke discusses the intellectual process through which we access the "first principles" of human thought - the most basic concepts, the laws of logic, the universal claims of science and metaphysics, and the deepest moral truths. Following Aristotle and others, Groarke situates the first stirrings of human understanding in a creative capacity for discernment that precedes knowledge, even logic. Relying on a new historical study of philosophical theories of inductive reasoning from Aristotle to the twenty-first century, Groarke explains how Aristotle offers a viable solution to the so-called problem of induction, while offering new contributions to contemporary accounts of reasoning and argument and challenging the conventional wisdom about induction.


John Venn

John Venn

Author: Lukas M. Verburgt

Publisher: University of Chicago Press

Published: 2022-04-08

Total Pages: 436

ISBN-13: 022681551X

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Presents a biographical sketch of English logician and man of letters John Venn (1834-1923), compiled as part of the MacTutor History of Mathematics Archive of the School of Mathematics and Statistics at the University of Saint Andrews in Scotland. Notes that Venn compiled a history of Cambridge University.


Chance, Cause, Reason

Chance, Cause, Reason

Author: Arthur Walter Burks

Publisher:

Published: 1977

Total Pages: 720

ISBN-13:

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Concepts and problems; The calculus of inductive probability; Alternative inductive logics and the justification of induction; Probability and action; The pragmatic theory of inductive probability; The logic of causal statements as a formal language; The logic of causal statements as a model of natural language; The dispositional theory of empirical probability; Cause and chance in space - time systems; The presupposition of theory induction; Chance, cause, and reason.


Inductive Logic Programming

Inductive Logic Programming

Author: Stan Matwin

Publisher: Springer

Published: 2003-07-01

Total Pages: 361

ISBN-13: 3540364684

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The Twelfth International Conference on Inductive Logic Programming was held in Sydney, Australia, July 9–11, 2002. The conference was colocated with two other events, the Nineteenth International Conference on Machine Learning (ICML2002) and the Fifteenth Annual Conference on Computational Learning Theory (COLT2002). Startedin1991,InductiveLogicProgrammingistheleadingannualforumfor researchers working in Inductive Logic Programming and Relational Learning. Continuing a series of international conferences devoted to Inductive Logic Programming and Relational Learning, ILP 2002 was the central event in 2002 for researchers interested in learning relational knowledge from examples. The Program Committee, following a resolution of the Community Me- ing in Strasbourg in September 2001, took upon itself the issue of the possible change of the name of the conference. Following an extended e-mail discussion, a number of proposed names were subjected to a vote. In the ?rst stage of the vote, two names were retained for the second vote. The two names were: Ind- tive Logic Programming, and Relational Learning. It had been decided that a 60% vote would be needed to change the name; the result of the vote was 57% in favor of the name Relational Learning. Consequently, the name Inductive Logic Programming was kept.


Intelligence Science

Intelligence Science

Author: Zhongzhi Shi

Publisher: World Scientific

Published: 2012-03-26

Total Pages: 682

ISBN-13: 9814458384

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Intelligence Science is an interdisciplinary subject dedicated to joint research on basic theory and technology of intelligence by brain science, cognitive science, artificial intelligence and others. Brain science explores the essence of brain research on the principle and model of natural intelligence at the molecular, cell and behavior level. Cognitive science studies human mental activity, such as perception, learning, memory, thinking, consciousness etc. In order to implement machine intelligence, artificial intelligence attempts simulation, extension and expansion of human intelligence using artificial methodology and technology. Research scientists from the above three disciplines work together to explore new concepts, new theories, and methodologies.This book will introduce the concept and methodology of intelligence science systematically. The whole book is divided into 18 chapters altogether. It can be regarded as a textbook in courses of intelligence science, cognitive science, cognitive informatics etc. for senior and graduate students. It has important reference value for researchers engaged in fields such as intelligence science, brain science, cognitive science, neural science, artificial intelligence, psychology and so on.


Hume's Problem

Hume's Problem

Author: Colin Howson

Publisher: Oxford University Press

Published: 2000

Total Pages: 272

ISBN-13: 0198250371

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This volume offers a solution to one of the central, unsolved problems of Western philosophy, that of induction. It explores the implications of Hume's argument that successful prediction tells us nothing about the truth of the predicting theory.