<p><p>This book presents interdisciplinary research on cognition, mind and behavior from an information processing perspective. It includes chapters on Artificial Intelligence, Decision Support Systems, Machine Learning, Data Mining and Support Vector Machines, chiefly with regard to the data obtain
Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution
β Scribed by Mark H. Bickhard and Loren Terveen (Eds.)
- Publisher
- North Holland
- Year
- 1995
- Tongue
- English
- Leaves
- 397
- Series
- Advances in Psychology 109
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The book focuses on a conceptual flaw in contemporary artificial intelligence and cognitive science. Many people have discovered diverse manifestations and facets of this flaw, but the central conceptual impasse is at best only partially perceived. Its consequences, nevertheless, visit themselves as distortions and failures of multiple research projects - and make impossible the ultimate aspirations of the fields.
The impasse concerns a presupposition concerning the nature of representation - that all representation has the nature of encodings: encodingism. Encodings certainly exist, but encoding ism is at root logically incoherent; any programmatic research predicted on it is doomed too distortion and ultimate failure.
The impasse and its consequences - and steps away from that impasse - are explored in a large number of projects and approaches. These include SOAR, CYC, PDP, situated cognition, subsumption architecture robotics, and the frame problems - a general survey of the current research in AI and Cognitive Science emerges.
Interactivism, an alternative model of representation, is proposed and examined.
β¦ Table of Contents
Content:
Editors
Page ii
Edited by
Page iii
Copyright page
Page iv
Preface
Pages xi-xii
Mark H. Bickhard, Loren Terveen
Introduction
Pages 1-4
1 Programmatic Arguments
Pages 7-10
2 The Problem of Representation
Pages 11-17
3 Consequences of Encodingism
Pages 19-23
4 Responses to the Problems of Encodings
Pages 25-33
5 Current Criticisms of AI and Cognitive Science
Pages 35-46
6 General Consequences of the Encodingism Impasse
Pages 47-52
7 The Interactive Model
Pages 55-74
8 Implications for Foundational Mathematics
Pages 75-85
9 Representation: Issues within Encodingism
Pages 89-144
10 Representation: Issues about Encodingism
Pages 145-233
11 Language
Pages 235-259
12 Learning
Pages 261-282
13 Connectionism
Pages 283-297
14 Interactivism and Connectionism
Pages 301-307
15 Foundations of an Interactivist Architecture
Pages 309-324
16 Transcending the Impasse
Pages 327-331
References
Pages 333-366
Index
Pages 367-384
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