Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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... build a system to solve a par- ticular problem : 1. Define the problem precisely . specifications of what the initial situation ( s ) will be as well as what final situations constitute acceptable solutions to the problem . This ...
... build a system to solve a par- ticular problem : 1. Define the problem precisely . specifications of what the initial situation ( s ) will be as well as what final situations constitute acceptable solutions to the problem . This ...
Página 363
... build a program that learns by starting out with a simple network and building connections in that network as indicated by rein- forcement from the environment ? Or , if the anthropormorphism of neural net- works bothers you , why not ...
... build a program that learns by starting out with a simple network and building connections in that network as indicated by rein- forcement from the environment ? Or , if the anthropormorphism of neural net- works bothers you , why not ...
Página 390
... building many kinds of complex systems . including A.I. ones • Features that are particularly important in building A.I. systems because of the special characteristics of such systems Let us first consider important characteristics that ...
... building many kinds of complex systems . including A.I. ones • Features that are particularly important in building A.I. systems because of the special characteristics of such systems Let us first consider important characteristics that ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production system PROLOG propositional logic question reasoning representing knowledge rules Schank script search procedure search process Section semantic net sentence shown in Figure simple situation slots solution solve specific stack statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding variety