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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Página 67
... match first . Sometimes a great many values satisfy each predicate but very few satisfy both . This example also ... Matching A more complex matching process SEC . 3.4 MATCHING 67.
... match first . Sometimes a great many values satisfy each predicate but very few satisfy both . This example also ... Matching A more complex matching process SEC . 3.4 MATCHING 67.
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Elaine Rich. 3.4.3 Complex and Approximate Matching A more complex matching process is required when the preconditions of ... match the current situation . This is often the case in situations involving physical descriptions of the world ...
Elaine Rich. 3.4.3 Complex and Approximate Matching A more complex matching process is required when the preconditions of ... match the current situation . This is often the case in situations involving physical descriptions of the world ...
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... matching rules are simple . Different constants , functions , or predicates cannot match ; identical ones can . A variable can match another variable , any constant , or a function or predicate expression , with the restriction that the ...
... matching rules are simple . Different constants , functions , or predicates cannot match ; identical ones can . A variable can match another variable , any constant , or a function or predicate expression , with the restriction that the ...
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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