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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... initial state and ending in one or more final states . This graph that must be searched could , in principle , be constructed in its entirety from the rules that define allowable moves in the problem space . But , in practice , most of ...
... initial state and ending in one or more final states . This graph that must be searched could , in principle , be constructed in its entirety from the rules that define allowable moves in the problem space . But , in practice , most of ...
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... initial problem state into the goal state . How will it know when this has been done ? In simple problem- solving ... initial state , we ask whether we can prove P ( X ) given the assertions that describe the initial state and the axioms ...
... initial problem state into the goal state . How will it know when this has been done ? In simple problem- solving ... initial state , we ask whether we can prove P ( X ) given the assertions that describe the initial state and the axioms ...
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... initial Worth value of a -- ) Arity : 1 Initial Worth : 700 LastRunOn : Applics ThenComputeRecord : ( 4025. 120 ) ThenPrintToUserRecord : ( 45925 , 120 ) H12-2 Overall Record : ( 62512.120 ) Generalizations : ( ProtoOpl FocusTask ...
... initial Worth value of a -- ) Arity : 1 Initial Worth : 700 LastRunOn : Applics ThenComputeRecord : ( 4025. 120 ) ThenPrintToUserRecord : ( 45925 , 120 ) H12-2 Overall Record : ( 62512.120 ) Generalizations : ( ProtoOpl FocusTask ...
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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