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Sinopse
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.
Ficha técnica
Especificações
ISBN | 9780137903955 |
---|---|
Pré venda | Não |
Peso | 1264g |
Autor para link | RUSSELL |
Livro disponível - pronta entrega | Não |
Dimensões | 23 x 16 x 1 |
Tipo item | LIVRO IMPORTADO ADQ MERC INTERNO |
Número de páginas | 1132 |
Número da edição | 2ª EDICAO - 2002 |
Código Interno | 3382 |
Código de barras | 9780137903955 |
Acabamento | HARDCOVER |
Autor | RUSSELL |
Editora | PRENTICE HALL |
Sob encomenda | Sim |