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 261
... 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 ...
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... satisfied . So we are back to our original goal ( plus more since other predicates have also been added to the stack ) . At this point , this path can be terminated as unproductive . If , however , block C had been on another block in ...
... satisfied . So we are back to our original goal ( plus more since other predicates have also been added to the stack ) . At this point , this path can be terminated as unproductive . If , however , block C had been on another block in ...
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... 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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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex