心、脳とコンピュータ:認知科学の基盤への歴史的入門<br>Minds, Brains, Computers : An Historical Introduction to the Foundations of Cognitive Science

個数:

心、脳とコンピュータ:認知科学の基盤への歴史的入門
Minds, Brains, Computers : An Historical Introduction to the Foundations of Cognitive Science

  • 提携先の海外書籍取次会社に在庫がございます。通常2週間で発送いたします。
    重要ご説明事項
    1. 納期遅延や、ご入手不能となる場合が若干ございます。
    2. 複数冊ご注文の場合、分割発送となる場合がございます。
    3. 美品のご指定は承りかねます。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 446 p.
  • 言語 ENG
  • 商品コード 9780631212607
  • DDC分類 153.09

基本説明

Tracing the concepts from the 19th century to the present, this study surveys the contributions of philosophy, psychology, neuroscience, and computer science. Also investigates the theory of mind from two contrasting approaches: the digital computer vs. neural network models.

Full Description


Minds, Brains, Computers serves as both an historical and interdisciplinary introduction to the foundations of cognitive science.

Table of Contents

        List of Figures                            x
Preface xv
Acknowledgments xvii
Introduction: What is Cognitive Science? 1 (1)
Broad Construal 2 (2)
Narrow Construal 4 (1)
Cognition: Broad and Narrow 4 (1)
Computation: Broad and Narrow 5 (1)
The Working Conception of Cognitive Science 6 (9)
Appendix 1978 Sloan Report 7 (1)
Study Questions 8 (1)
Suggested Reading 9 (6)
Part I Historical Background
Introduction 15 (1)
Associationism 16 (21)
Introduction: What is Associationism? 16 (1)
Generic Empiricist Associationism 16 (2)
Varieties of Associationism 18 (1)
Locke and James 19 (14)
The End of Classical Associationism 33 (4)
Study Questions 34 (1)
Suggested Reading 35 (2)
Behaviorism and Cognitivism 37 (18)
Introduction 37 (1)
The Rise of Behaviorism and 37 (6)
Stimulus-Response Psychology
Challenges to Behaviorism and 43 (2)
Stimulus-Response Psychology
Cognitivism: Information Processing 45 (10)
Psychology
Study Questions 52 (1)
Suggested Reading 53 (2)
Biological Background 55 (24)
Introduction 55 (1)
Brain Ventricles vs. Brain Substance 55 (5)
Cortical Localization vs. Holism 60 (6)
Nerve Net Theory vs. the Neuron Doctrine 66 (5)
The First Half of the Twentieth Century 71 (8)
Study Questions 76 (1)
Suggested Reading 77 (2)
Neuro-Logical Background 79 (28)
Introduction 79 (1)
Neural Networks and the Logic of 80 (5)
Propositions
Perceptrons 85 (5)
Linear Separability and XOR: McCulloch and 90 (5)
Pitts Nets and Perceptrons
Simple Detector Semantics 95 (10)
Study Questions 100 (2)
Suggested Reading 102 (3)
Part II The Digital Computational Theory of Mind
Introduction 105 (2)
A Sample Artificial Intelligence Model: SHRDLU 107 (17)
Introduction 107 (1)
SHRDLU Dialogue 108 (8)
The Program 116 (3)
Limitations 119 (2)
Historical Role of SHRDLU 121 (3)
Study Questions 122 (1)
Suggested Reading 122 (2)
Architecture(s) 124 (29)
Introduction: Some Preliminary Concepts 124 (2)
Turing Machines 126 (6)
von Neumann Machines 132 (7)
Production Systems 139 (5)
Intermezzo: Pandemonium 144 (3)
Taxonomizing Architectures (I) 147 (6)
Study Questions 149 (2)
Suggested Reading 151 (2)
Representation(s) 153 (25)
Introduction 153 (2)
The Variety of Representations: Some 155 (16)
Standard High-level Formats
The Nature of Digital Computational 171 (7)
Representation
Study Questions 174 (1)
Suggested Reading 175 (3)
The Digital Computational Theory of Mind 178 (47)
Introduction 178 (1)
From the Representational Theory of Mind to 179 (11)
the Computational Theory of Mind
The Digital Computational Theory of Mind 190 (3)
and the Language of Thought
DCTM and the Mind-Body Problem 193 (9)
DCTM and Representational Content 202 (6)
DCTM and Consciousness (I) 208 (5)
Modular (Cognitive) Architectures 213 (12)
Appendix Modularity: Gall vs. Fodor 218 (1)
Study Questions 219 (3)
Suggested Reading 222 (3)
Criticisms of the Digital Computational 225 (48)
Theory of Mind
Introduction: The Turing Test (Again) 225 (2)
Against Strong AI: Searle and the Chinese 227 (4)
Room
The Digital Computational Mind in the 231 (5)
Chinese Room
The DCTM and Consciousness (II) 236 (8)
The DCTM and Mental Content 244 (6)
Against Cognitivism 250 (9)
DCTM Hardware and the Brain 259 (4)
The Domain and Scope of the DCTM 263 (10)
Study Questions 266 (4)
Suggested Reading 270 (3)
Part III The Connectionist Computational Theory 273 (121)
of Mind
Introduction 275 (1)
Sample Connectionist Networks 276 (13)
Introduction 276 (1)
Jets and Sharks 276 (4)
NET talk 280 (9)
Study Questions 287 (1)
Suggested Reading 288 (1)
Connectionism: Basic Notions and Variations 289 (41)
Introduction 289 (1)
Basic Notions and Terminology 289 (15)
Learning and Training 304 (13)
Representation(s) 317 (8)
Generic Connectionism 325 (5)
Study Questions 327 (1)
Suggested Reading 328 (2)
The Connectionist Computational Theory of Mind 330 (29)
Introduction 330 (1)
The Connectionist Computational Theory of 330 (2)
Mind
Motivations for the CCTM 332 (3)
A Bit of History: Connectionism and 335 (2)
Associationism
Interpreting Connectionism: PTC 337 (14)
Taxonomizing Architectures (II) 351 (8)
Appendix Connectionism and Turing's 353 (3)
Unorganized Machines
Study Questions 356 (2)
Suggested Reading 358 (1)
Criticisms of the Connectionist Computational 359 (35)
Theory of Mind
Introduction 359 (1)
Differences: The CCTM and the Brain 359 (3)
CCTM: The Lures of Connectionism 362 (5)
CCTM and the Chinese Gym 367 (4)
CCTM and Propositional Attitudes 371 (12)
CCTM Detector Semantics 383 (6)
CCTM: Problems and Prospects 389 (5)
Study Questions 390 (2)
Suggested Reading 392 (2)
Coda: Computation for Cognitive Science, or 394 (19)
What IS a Computer, Anyway?
Introduction 394 (1)
Functional View of Computers 395 (3)
Levels of Description View of Computers 398 (5)
Combined Functional-Descriptive View of 403 (1)
Computers
Levels of Computation: Stabler 404 (3)
Digital and Connectionist Computers 407 (3)
Is Everything a Computer? 410 (3)
Study Questions 411 (1)
Suggested Reading 412 (1)
Bibliography 413 (21)
Index 434