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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... things rather than changing old ones are generally ig- norable . Theorem proving , as we have described it , is one ... things do not change ; new things get created . Nonmonotonic , partially commutative systems , on the other hand ...
... things rather than changing old ones are generally ig- norable . Theorem proving , as we have described it , is one ... things do not change ; new things get created . Nonmonotonic , partially commutative systems , on the other hand ...
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... things as " Find examples of a concept you already know . " AM's goal was to generate new " interesting " mathematical con- cepts . It succeeded in discovering such things as prime numbers and Goldbach's conjecture . Armed solely with ...
... things as " Find examples of a concept you already know . " AM's goal was to generate new " interesting " mathematical con- cepts . It succeeded in discovering such things as prime numbers and Goldbach's conjecture . Armed solely with ...
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... things that could prevent the successful use of the boat , includ- ing lack of oars , a leak in the boat , the boat stuck in the mud , and so forth . It is important that the problem - solving program not have to prove explicitly that ...
... things that could prevent the successful use of the boat , includ- ing lack of oars , a leak in the boat , the boat stuck in the mud , and so forth . It is important that the problem - solving program not have to prove explicitly 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