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by Yorick Wilks,Afzal Ballim

Author: Yorick Wilks,Afzal Ballim
Subcategory: Computer Science
Language: English
Publisher: Psychology Press (September 1, 1991)
Pages: 288 pages
Category: Technologies and Computers
Rating: 4.4
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Home Browse Books Book details, Artificial Believers: The Ascription of Belief. Artificial Believers: The Ascription of Belief. By Afzal Ballim, Yorick Wilks. Phenomena at all levels - syntactic, semantic, and pragmatic - cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers. The heart of this text is the presentation of an artificial intelligence (AI) program intended to simulate certain aspects of a human believer.

Afzal Ballim, Yorick Wilks. This book provides a prolog program, Viewgen,that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning. The authors contend that a plausible model such as this can - in the best cognitive science tradition - shed light on the long-standing philosophical problem of what belief is.

Yorick Wilks FBCS (born 27 October 1939), a British computer scientist, is Emeritus Professor of Artificial Intelligence at the University of Sheffield, Visiting Professor of Artificial Intelligence at Gresham College. Download PDF book format. 15. 20. Personal Name: Ballim, Afzal. Publication, Distribution, et. Hillsdale, . Choose file format of this book to download: pdf chm txt rtf doc. Download this format book. Artificial believers : the ascription of belief Afzal Ballim, Yorick Wilks. Book's title: Artificial believers : the ascription of belief Afzal Ballim, Yorick Wilks. Library of Congress Control Number: 91017539. Physical Description: 285 p. : ill. ;, 24 cm. Bibliography, etc. Additional Book Information. Table of Contents this book is interesting, applies a broad range of new belief attribution heuristics in very creative ways. We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption. Request an e-inspection copy.

Read "Artificial Believers The Ascription of Belief" by Afzal Ballim . The Ascription of Belief.

Phenomena at all levels.

Afzal Ballim and Yorick Wilks, (1991). Believers: The Ascription of Belief. LNCS Vol. 7812, Springer. Shifting the. belief engine into higher gear. Hillsdale, NJ: Lawrence Erlbaum Associates. Margaret M. Bradley, and Peter J. Lang. Af-. fective Norms for English Words (ANEW): Stimu-. on AI Methodology Systems Applications. pp. 11–20), Elsevier.

Phenomena at all levels - syntactic, semantic, and pragmatic - cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers.

This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning

This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning

Artificial Believers: The Ascription of Belief. Afzal Ballim, Yorick Wilks. about a topic) is described.

Artificial Believers: The Ascription of Belief. Contents: Introduction. Preliminaries on the Nature of Belief. Experiments in Belief. Global Issues: Reasoning with Viewpoints. Such nested beliefs (points of view) are esential to man. More).

Modeling of individual beliefs is essential to the computer understanding of natural languages. Phenomena at all levels -- syntactic, semantic, and pragmatic -- cannot be fully analyzed in the absence of models of a hearer and of the hearer's model of other believers. The heart of this text is the presentation of an artificial intelligence (AI) program intended to simulate certain aspects of a human believer. This book provides a prolog program, Viewgen, that maintains belief structures about the world and other believers, and is able to ascribe beliefs to others without direct evidence by using a form of default reasoning. The authors contend that a plausible model such as this can -- in the best cognitive science tradition -- shed light on the long-standing philosophical problem of what belief is. The issues presented here will be of considerable interest to an informed general reader as well as those with a background in any of the disciplines that make up what is now called cognitive science: philosophy, linguistics, psychology, neuropsychology, and also AI itself.