Artificial Intelligence: A Modern Approach. Knowledge and Reasoning under Uncertainty. Volume 2

In this updated and revised edition, the reader will find the most complete and current introduction to the theory and practice of artificial intelligence. The book presents ideas that have been formulated in research conducted in this field over the past fifty years, as well as modern achievements and the latest technologies and concepts in areas such as machine learning, multi-agent systems, robotics, natural language processing, probabilistic programming, as well as privacy, fairness, and security of AI. Written without excessive academicism (but sufficiently rigorously), the book will be useful to a wide range of readers: students, graduate students, and faculty of higher education institutions, engineers, software developers, etc. Due to the exceptionally large volume of this encyclopedic edition, its Russian-language version is presented in the form of a three-volume set. In this second volume, various aspects of the approach to implementing agents acting in environments close to reality are discussed: probabilistic reasoning, including about time, planning and decision-making (simple and complex), including in a multi-agent environment.