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Artificial Intelligence and Psychiatry [Pehme köide]

  • Formaat: Paperback / softback, 280 pages, kõrgus x laius x paksus: 229x152x16 mm, kaal: 420 g, Worked examples or Exercises
  • Sari: The Scientific Basis of Psychiatry
  • Ilmumisaeg: 23-Jul-2009
  • Kirjastus: Cambridge University Press
  • ISBN-10: 0521116139
  • ISBN-13: 9780521116138
Teised raamatud teemal:
Artificial Intelligence and PsychiatrySuurem pilt
  • Formaat: Paperback / softback, 280 pages, kõrgus x laius x paksus: 229x152x16 mm, kaal: 420 g, Worked examples or Exercises
  • Sari: The Scientific Basis of Psychiatry
  • Ilmumisaeg: 23-Jul-2009
  • Kirjastus: Cambridge University Press
  • ISBN-10: 0521116139
  • ISBN-13: 9780521116138
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9780521116138.html
First published in 1985, this book provides the psychiatrist with a basic knowledge of the methods and concepts used in the sphere of artificial intelligence. The techniques not only involve building models of the mind (and hence aid hypothesis testing) but also incorporate programs to assist the everyday work of psychiatrists. Knowledge representation, natural language understanding, search and planning, computer-assisted diagnosis, simulation and teaching are discussed. Enough basic theory is outlined to enable readers to understand and to carry out research in the area and to take part in the major ethical debate which will affect the direction of research in the area.

This book provides the psychiatrist with a basic knowledge of the methods and concepts used in the sphere of artificial intelligence.

Muu info

This book provides the psychiatrist with a basic knowledge of the methods and concepts used in the sphere of artificial intelligence.
Preface
1 Introduction 1
2 Knowledge representation 21
2.1 Introduction
21
2.2 Logic
28
2.3 Semantic networks
35
2.4 Frames and scripts
43
2.5 Production systems
54
2.6 Levels of representation
65
2.7 Further reading
69
3 Machine understanding of natural language 71
3.1 Introduction
71
3.2 Simple pattern matching
76
3.3 Syntax
81
3.4 Context-free grammars
85
3.5 Transformational grammar
89
3.6 Augmented transition networks
92
3.7 Systemic grammar
94
3.8 Semantics
97
3.9 Other points
101
3.10 Examples
105
3.11 Further reading
123
4 Search and proof 124
4.1 Search
124
4.2 Resolution proof
133
4.3 Further reading
135
5 Computer assisted diagnosis 137
5.1 Introduction
137
5.2 How humans structure diagnosis
141
5.3 Taxonomies of computer assisted diagnosis
151
5.4 Flowchart and hierarchical methods: empirical and mechanistic
155
5.5 Expert systems
164
5.6 Empirical statistical methods
190
5.7 Discussion
205
5.8 Further reading
219
6 Simulation and teaching 222
6.1 Introduction
222
6.2 PARRY
227
7 Some final comments 241
References 243
Name Index 256
Subject Index 260