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
... satisfied , we must find a single substitu- tion for y such that it is true that SON ( John , y ) and SON ( y , z ) , for some value of z . To do this , we must first find a y that satisfies one of the predicates and then see if it also ...
... satisfied , we must find a single substitu- tion for y such that it is true that SON ( John , y ) and SON ( y , z ) , for some value of z . To do this , we must first find a y that satisfies one of the predicates and then see if it also ...
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... satisfied in the world model . It will be unless we undid one of its components in attempting to satisfy another . In this case , there is no problem and the combined goal can be popped from the stack . Now the top element of the stack ...
... satisfied in the world model . It will be unless we undid one of its components in attempting to satisfy another . In this case , there is no problem and the combined goal can be popped from the stack . Now the top element of the stack ...
Página 270
... satisfied goal is necessary here . ARMEMPTY appears as part of the goal set of node 5. But ARMEMPTY is satisfied in the initial state description . So why did we just look at a way to satisfy it again ? Why could we not just consider it ...
... satisfied goal is necessary here . ARMEMPTY appears as part of the goal set of node 5. But ARMEMPTY is satisfied in the initial state description . So why did we just look at a way to satisfy it again ? Why could we not just consider it ...
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Términos y frases comunes
A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language 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 variety