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Conceptual structures : information processing in mind and machine

Conceptual structures : information processing in mind and machine (Loan 3 times)

Material type
단행본
Personal Author
Sowa, John F.
Title Statement
Conceptual structures : information processing in mind and machine / John F. Sowa.
Publication, Distribution, etc
Reading, Mass. :   Addison-Wesley,   [c1984].  
Physical Medium
xiv, 481 p. : ill. ; 25 cm.
Series Statement
Systems programming series.
ISBN
0201144727
General Note
Includes indexes.  
Bibliography, Etc. Note
Bibliography: p. 425-460.
Subject Added Entry-Topical Term
Conceptual structures (information theory). Cognition. Human information processing. Artificial Intelligence. Cognition. Mental Processes. Intelligence artificielle. Cognition. Information, traitement de l', chez l'homme.
비통제주제어
Artificial intelligence,,
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008 821021s1984 maua b 001 0 eng
010 ▼a 82020720 //r922
015 ▼a GB91-30446
019 ▼a 19327288 ▼a 26362090
020 ▼a 0201144727
035 ▼a ocm08930550
040 ▼a DLC ▼c DLC ▼d FCU ▼d NLM ▼d UKM ▼d 211009
049 1 ▼l 421112006 ▼f 과개 ▼l 421112007 ▼f 과개
050 0 0 ▼a Q335 ▼b .S68 1984
060 0 ▼a Q 335 ▼b S731c 1984
069 0 ▼a 8903078
082 0 0 ▼a 001.53/5 ▼2 19
090 ▼a 001.535 ▼b S731c
100 1 ▼a Sowa, John F.
245 1 0 ▼a Conceptual structures : ▼b information processing in mind and machine / ▼c John F. Sowa.
260 ▼a Reading, Mass. : ▼b Addison-Wesley, ▼c [c1984].
300 ▼a xiv, 481 p. : ▼b ill. ; ▼c 25 cm.
490 1 ▼a Systems programming series.
500 ▼a Includes indexes.
504 ▼a Bibliography: p. 425-460.
650 0 ▼a Conceptual structures (information theory).
650 0 ▼a Cognition.
650 0 ▼a Human information processing.
650 2 ▼a Artificial Intelligence.
650 2 ▼a Cognition.
650 2 ▼a Mental Processes.
650 7 ▼a Intelligence artificielle. ▼2 ram.
650 7 ▼a Cognition. ▼2 ram.
650 7 ▼a Information, traitement de l', chez l'homme. ▼2 ram.
653 ▼a Artificial intelligence
830 0 ▼a Addison-Wesley systems programming series.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 001.535 S731c Accession No. 121163358 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 001.535 S731c Accession No. 421112006 Availability Available Due Date Make a Reservation Service B M
No. 3 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 001.535 S731c Accession No. 421112007 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents


CONTENTS
CHAPTER 1 PHILOSOPHICAL BASIS = 1
 1.1 Knowledge and Models = 1
 1.2 Psychological Issues = 5
 1.3 Linguistic Issues = 8
 1.4 Intensions and Extensions = 10
 1.5 Primitives and Prototypes = 13
 1.6 Symbolic Logic and Common Sense = 17
 1.7 Artificial Intelligence = 22
 Exercises = 25
 Suggested Reading = 26
CHAPTER 2 PSYCHOLOGICAL EVIDENCE = 27
 2.1 Percepts = 27
 2.2 Mechanisms of Perception = 31
 2.3 Conceptual Encoding = 36
 2.4 Schemata = 42
 2.5 Working Registers = 51
 2.6 Recognition and Recall = 55
 2.7 Central Controller = 59
 Exercises = 64
 Suggested Readings = 67
CHAPTER 3 CONCEPTUAL GRAPHS = 69
 3.1 Percepts and Concepts = 69
 3.2 Semantic Network = 76
 3.3 Individuals and Names = 84
 3.4 Canonical Graphs = 90
 3.5 Generalization and Specialization = 96
 3.6 Abstraction and Definition = 103
 3.7 Aggregation and Individuation = 115
 Exercises = 123
 Suggested Reading = 126
CHAPTER 4 REASONING AND COMPUTATION = 127
 4.1 Schemata and Prototypes = 127
 4.2 First-Order Logic = 137
 4.3 Formal Deduction = 149
 4.4 Model Theory = 161
 4.5 Tenses and Modalities = 173
 4.6 Actors in Dataflow Graphs = 187
 4.7 Conceptual Processor = 195
 Exercises = 206
 Suggested Reading = 210
CHAPTER 5 LANGUAGE = 211
 5.1 Genesis of Language = 211
 5.2 Strata of Language = 216
 5.3 Case Relations = 222
 5.4 Language Generation = 230
 5.5 Syntactic Analysis = 246
 5.6 Integrating Syntax and Semantics = 255
 5.7 Context and Background Information = 264
 Exercises = 272
 Suggested Reading = 275
CHAPTER 6 KNOWLEDGE ENGINEERING = 277
 6.1 Expert Systems = 277
 6.2 Natural Language Systems = 286
 6.3 Conceptual Analysis = 294
 6.4 Database Semantics = 302
 6.5 Database Inference = 310
 6.6 Knowledge Acquisition = 318
 6.7 Learning = 329
 Exercises = 334
 Suggested Reading = 337
CHAPTER 7 LIMITS OF CONCEPTUALIZATION = 339
 7.1 Cybernetics = 339
 7.2 Vagueness and Expressive Power = 341
 7.3 Conceptual Relativity = 344
 7.4 Creativity and Intelligence = 350
 7.5 Science as a Mythology = 353
 7.6 Minds and Machines = 356
 7.7 Problems for Cognitive Science = 360
 Exercises = 363
 Suggested Reading = 365
APPENDIX A MATHEMATICAL BACKGROUND = 367
 A.1 Sets, Bags, and Sequences = 367
 A.2 Functions = 371
 A.3 Graphs = 375
 A.4 Relations = 380
 A.5 Symbolic Logic = 384
 A.6 Formal Grammars = 391
 A.7 Algorithms = 397
 Suggested Reading = 403
APPENDIX B CONCEPTUAL CATALOG = 405
 B.1 Lexicon = 405
 B.2 Concepts = 408
 B.3 Conceptual Relations = 415
 B.4 Grammatical Categories = 419
 Suggested Reading = 424
BIBLIOGRAPHY = 425
AUTHORINDEX = 461
SUBJECT INDEX = 469


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