Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

Livro digital

Título:
Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

Autor:
Peter Norvig

Categoria:
Tecnologia > IA

Doador:
Raffaello D. N.

Sinopse:
How do you move beyond toy examples and learn to build artificial intelligence programs that survive contact with real problems? Peter Norvig answers by progressing from Common Lisp fundamentals to landmark systems such as GPS, ELIZA, symbolic algebra, Prolog, expert systems, natural-language parsers, and an Othello player. The table of contents reads like a guided tour through both the history of AI and the craft of turning an incomplete program into a stronger one. The case studies expose the full programming process: early versions, failure analysis, refinements, and increasingly sophisticated designs. Along the way, the reader studies pattern matching, search, efficiency, compilation, object-oriented and logic programming, knowledge representation, constraint propagation, alpha-beta search, grammars, Scheme interpreters, and debugging. Common Lisp is not treated as syntax to memorize, but as a flexible medium for expressing and extending ideas. This is a demanding, deeply practical bridge from intermediate Lisp programming to advanced AI work. Its enduring value lies in the programs themselves and in Norvig’s insistence that good programming is learned by reading, questioning, modifying, and rebuilding substantial examples. Readers leave with a sharper eye for design, a richer toolkit for symbolic computation, and a rare view of how classic AI techniques become working software.