Knowledge Representation and Metaphor, Hardcover by Way, Eileen Cornell, Bran...

$ 95.79

Publication Name: Knowledge Representation and Metaphor Number of Pages: Xx, 272 Pages Publisher: Springer Netherlands ISBN: 9780792310051 Subject Area: Computers, Philosophy, Language Arts & Disciplines Type: Textbook Series: Studies in Cognitive Systems Ser. Language: English Publication Year: 1991 Subject: Information Theory, Methodology, Intelligence (Ai) & Semantics, General, Linguistics / General, Speech & Audio Processing Author: Eileen Cornell Way Format: Hardcover Item Length: 11.7 in width: 8.3 in Item Width: 8.3 in Item Weight: 46.2 Oz Book Title: Knowledge Representation and Metaphor

Description

Knowledge Representation and Metaphor, Hardcover by Way, Eileen Cornell, Bran.... Knowledge Representation and Metaphor, Hardcover by Way, Eileen Cornell, ISBN 0792310055, ISBN-13 9780792310051, Brand New, Free shipping in the US This series will include monographs and collections of studies devoted to the investigation and exploration of knowledge, information, and data processing systems of all kinds, no matter whether human, (other) animal, or machine. Its scope is intended to span the full range of interests from classical problems in the philosophy of mind and philosophical psychol ogy through issues in cognitive psychology and sociobiology (concerning the mental capabilities of other species) to ideas related to artificial intelligence and computer science. While primary emphasis will be placed upon theoretical, conceptual, and epistemological aspects of these problems and domains, empirical, experimental, and methodological studies will also appear from time to time. The problems posed by metaphor and analogy are among the most challenging that confront the field of knowledge representation. In this study, Eileen Way has drawn upon the combined resources of philosophy, psychology, and computer science in developing a systematic and illuminating theoretical framework for understanding metaphors and analogies. While her work provides solutions to difficult problems of knowledge representation, it goes much further by investigating some of the most important philosophical assumptions that prevail within artificial intelligence today. By exposing the limitations inherent in the assumption that languages are both literal and truth-functional, she has advanced our grasp of the nature of language itself. .