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Artificial Intelligence
Concepts, areas, techniques and applications
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Preface 9
Overview 13
1 Introduction 17
1.1 What is artificial intelligence? 18
1.2 History of artificial intelligence 18
1.3 Artificial intelligence areas 22
1.4 Different categories of intelligence 27
1.5 Artificial intelligence tasks 28
1.6 The outline of the book 29
1.7 Exercises 29
Further reading 31
2 Searching, planning and scheduling 35
2.1 Search algorithms 35
2.2 Planning and scheduling 55
2.3 Exercises 64
Further reading 67
3 Decision support, expert and knowledge-based systems 69
3.1 History 71
3.2 Decision support systems 73
3.3 Expert systems 80
3.4 Knowledge representation 84
3.5 Inference mechanism 92
3.6 Knowledge-based systems 101
3.7 Tools for modeling and presenting contents 110
3.8 Limitations 114
3.9 Popularity of decision support systems, expert systems and knowledge-based systems 114
3.10 Exercises 115
Further reading 118
4 Agent-based systems and multi-agent systems 121
4.1 History 123
4.2 The problem domain of agents 124
4.3 Agents 126
4.4 Multi-agent teamwork 133
4.5 Multi-agent system environments 136
4.6 Popularity of agents and multi-agent systems 141
4.7 Problems with multi-agent systems 142
4.8 Exercises 143
Further reading 144
5 Machine learning 147
5.1 History of machine learning 150
5.2 Machine learning systems 152
5.3 Machine learning process 154
5.4 Machine learning categories and algorithms 164
5.5 Supervised learning 165
5.6 Unsupervised learning 190
5.7 Other learning categories 196
5.8 Popularity of machine learning systems 198
5.9 Problems 198
5.10 Exercises 199
Further reading 202
6 Artificial neural networks 205
6.1 History 209
6.2 Types of neural networks 212
6.3 Types of learning 225
6.4 Popularity of neural networks 237
6.5 Exercises 237
Further reading 239
7 Deep learning 241
7.1 History 243
7.2 Deep neural networks 244
7.3 Exercises 267
Further reading 268
8 Natural language processing 271
8.1 History 273
8.2 Parsing and generation 275
8.3 Subfields with methods and notations 278
8.4 Syntax 278
8.5 Semantics 284
8.6 Pragmatics 287
8.7 Phonology and phonetics 288
8.8 Techniques for natural language processing 290
8.9 Problems 292
8.10 Exercises 293
Further reading 294
9 Miscellaneous topics and tools 297
9.1 Robotics and mobile, autonomous agents 297
9.2 Perception and computer vision, virtual reality and augmented reality 299
9.3 Cognitive science, cognitive computation and cognitive computing 305
9.4 Bio-inspired artificial intelligence 307
Further reading 314
10 AI in society – revolution and future 319
10.1 AI in society 319
10.2 AI and ethics 327
10.3 The AI revolution 330
10.4 The future of AI 332
10.5 Research front 335
Further reading 338
References 343
Index 359
Information
Språk:
EngelskaISBN:
9789144125992Utgivningsår:
2020Artikelnummer:
39923-01Upplaga:
FörstaSidantal:
372