ARTIFICIAL INTELLIGENCE - A MODERN APPROACH

ARTIFICIAL INTELLIGENCE - A MODERN APPROACH

This book uses an intelligent agent as the unifying theme throughout — i.e., the problem of AI is to describe and build agents that receive percepts from the environment and perform actions, and each such agent is implemented by a function that maps percepts to actions. covers different ways to represent these functions, such as production systems, reactive agents, logical planners and decision- theoretic systems ; Explains the role of learning as extending the reach of the designer into unknown environments, and shows how it constrains agent design, favoring explicit knowledge representation and reasoning; Includes a thorough, up-to-date and integrated treatment of robotics and vision, written by John Canny and Jitendra Malik, two of the leading exponents in their respective fields; Analyzes basic techniques for addressing complexity (use of approximation, compilation, anytime algorithms, hierarchical abstraction) as general sources of power Covers areas that are sometimes under-emphasized— reasoning under uncertainty, learning, natural language, vision and robotics —and explains in detail some of the more recent ideas in the field —e.g., simulated annealing, memory-bounded search, global ontologies, dynamic belief networks, neural nets, inductive logic programming, computational learning theory, and reinforcement learning.
Editora: PRENTICE HALL
ISBN: 0137903952
ISBN13: 9780137903955
Edição: 2ª Edição - 2002
Número de Páginas: 1132
Acabamento: HARDCOVER
por R$ 271,00 4x de R$ 67,75 sem juros