Artificial intelligence modern approach epub pdf. Russell, Norvig: Artificial Intelligence. Modern approach. Customers who viewed this page were also interested

Available in formats: EPUB | PDF | FB2

Pages: 1408

The year of publishing: 2017

Language: Russian

Artificial Intelligence is the topic of the book by Stuart Russell and Peter Norvig, ARTIFICIAL INTELLIGENCE. MODERN APPROACH. The core theme is the idea of \u200b\u200ban intelligent agent. On the pages of this edition are presented: the basics of mathematical logic, probability theory, theory of continuous functions; reveals the essence of such concepts as "perception", "reasoning", "learning" and "action". Stuart Russell and Peter Norvig define artificial intelligence as the science of agents who receive from their environment the results of acts of perception and perform appropriate actions. The authors consider a variety of ways to represent functions implemented by agents, including: production systems, reactive agents, conditional schedulers in real time, neural networks and systems based on decision theory. In addition to the purely theoretical part, many examples of algorithms are presented, versions of which, implemented in various programming languages, can be found on the Internet resource accompanying the book. Peter Norvig, one of the co-authors of the book, is a director of a business unit at Google. A well-known expert shares his accumulated experience, gives professional advice and helps all interested readers to take a journey in search of the electronic Grail, whose name is artificial intelligence. The book is written in an understandable and accessible language and is an excellent guide for university students, students of specialized courses, graduate students, programmers studying artificial intelligence. In addition, the book will be very useful for developers of intelligent software and professionals who want to expand the scope of their chosen specialty.

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foundations of mathematical logic,


production systems,
reactive agents,


In addition to the purely theoretical part, ...

Artificial Intelligence is the subject of the book "AIMA" ("Artificial Intelligence: A Modern Approach") by Stuart Russell and Peter Norvig - "Artificial Intelligence: A Modern Approach". The core theme of "AIMA" is the idea of \u200b\u200ban intelligent agent. The pages of this publication set out
foundations of mathematical logic,
probability theory, theory of continuous functions,
reveals the essence of such concepts as "perception", "reasoning", "learning" and "action".
Stuart Russell and Peter Norvig define artificial intelligence as the science of agents who receive from their environment the results of acts of perception and perform appropriate actions. The authors consider a variety of ways to represent the functions implemented by agents, including
production systems,
reactive agents,
conditional schedulers in real time,
neural networks and systems based on decision theory.
In addition to the purely theoretical part, "AIMA" contains many examples of algorithms, versions of which, implemented in various programming languages, can be found on the accompanying Internet resource (http://aima.cs.berkeley.edu/translations.html).
Peter Norvig, one of the co-authors of the book, is a director of a business unit at Google.
The renowned expert shares his accumulated experience, gives professional advice and helps all interested readers to make a journey in search of the electronic Grail, whose name is artificial intelligence.
AIMA is written in an understandable and accessible language and is an excellent guide for university students, students of specialized courses, graduate students, programmers studying artificial intelligence. In addition, the book will be very useful for developers of intelligent software and professionals who want to expand the scope of their chosen specialty.
2nd edition.

Name: Artificial intelligence: a modern approach
Author: Stuart Russell and Peter Norvig
Publisher: M .: Williams Publishing House
Year: 2006
Pages: 1410
Format: DjVu
Size: 17.3 Mb
Quality: Scanned pages + OCR layer
Russian language
Circulation 3000 copies.

The book presents all modern achievements and outlines ideas that have been formulated in research conducted over the past fifty years, as well as collected over two millennia in areas of knowledge that have become an incentive for the development of artificial intelligence as a science of designing rational agents. The theoretical description is illustrated by numerous algorithms, the implementation of which in the form ready-made programs in several programming languages \u200b\u200bare available on the accompanying Web site.

The book is intended for use in a basic university course or in a sequence of specialty courses. It is applicable as a basic reference for graduate students specializing in artificial intelligence, and will also be of interest to professionals who want to go beyond their chosen specialty. Due to the crystal clearness and clarity of presentation, it can well be attributed to best examples popular science literature.

Foreword 24
About the Authors 31
Part I. Artificial Intelligence 33
Chapter 1. Introduction 34
Chapter 2. Intelligent Agents 75
Part I. Problem solving 109
Chapter 3. Solving Problems by Searching 110
Chapter 4. Informed Search and Exploration of the State Space 153
Chapter 5. Problems of Satisfying Constraints 209
Chapter 6. Search in the face of opposition 240
Part III. Knowledge and reasoning 281
Chapter 7. Logical Agents 282
Chapter 8. First Order Logic 341
Chapter 9. Inference in First-Order Logic 380
Chapter 10. Representation of knowledge 440
Part IV. Planning 511
Chapter 11. Planning Basics 512
Chapter 12. Planning and implementation of actions in real world 564
Part V. Uncertain knowledge and reasoning in conditions
UNCERTAINTIES 621
Chapter 13. Uncertainty 622
Chapter 14. Probabilistic Reasoning 660
Chapter 15. Probabilistic Reasoning in Time 718
Chapter 16. Making Simple Decisions 778
Chapter 17. Making Difficult Decisions 815
Part VI. Training 863
Chapter 18. Learning from Observations 864
Chapter 19. Applying Knowledge to Teaching 902
Chapter 20. Statistical Methods learning 945
Chapter 21. Reinforcement Learning 1010
Part VII. Communication, perception and action 1045
Chapter 22. Communication 1046
Chapter 23. Probabilistic processing of linguistic information 1102
Chapter 24. Perception 1141
Chapter 25. Robotics 1188
Part VIII. Conclusion 1247
Chapter 26. Philosophical Foundations 1248
Chapter 27. Present and future of artificial intelligence 1277
Appendix A. Mathematical Foundations 1288
Appendix B. General information about languages \u200b\u200band algorithms,
used in the book of 1297
Literature 1302
Index 1373