Artificial Intelligence. Modern approach. Volume 3. Learning, perception, and action

The most complete and relevant introduction to the theory and practice of artificial intelligence!
In the fourth, updated, revised and supplemented publication of this book, the field of artificial intelligence (AI) is studied and analyzed in all its vastness and depth. All modern achievements are presented here and ideas that have been formulated in studies conducted over the past fifty years, and have also been collected for two millennia in the areas of knowledge that have become an incentive for the development of AI as science. Previous publications of this book became classic samples of the literature on AI and were accepted as a training manual in more than 1,400 universities of 128 countries of the world, where they were highly appreciated as a convincing result of a generalization of the results achieved in this area of ​​science.

The book is supplemented by an extensive set of Internet resources, including exercises, software and research projects, the implementation of algorithms, as well as additional materials and links for students and teachers.

What"s new in the fourth edition
In the fourth edition, the reader will get acquainted with the latest technologies and concepts presented in a more unified form with new or expanded coverage of topics such as machine learning, deep training, transfer training, multi -agent systems, robotics, processing a natural language, the problem of causality, the problem of causality, the problem of causality, Probably programming, as well as confidentiality, impartiality and security of AI.

What is presented in this volume
Due to the extremely large volume of this encyclopedic publication, its Russian -speaking version is presented in the form of a three -volume.

In this, the third volume, who received the subtitle training, perception and action, the most complex and modern childish are considered: various approaches to machine learning, processing a natural language, computer vision and robotics, as well as no less important aspects of AI - it Confidentiality, impartiality and security.

What in other volumes
In the two previous volumes of I and II, the foundations of AI theory were considered: intellectual agents and a possible approach to solving problems (knowledge, reasoning and planning (volume I)) and the action of agents, surrounded by the real (knowledge, reasoning and reasoning and reasoning and reasoning. Making decisions in conditions of uncertainty, including in a multi -agent environment (Volume II)).
4th edition