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 61
... already exists . 2. If it does not , simply add it to the graph just as for a tree . 3. If it does already exist , then do the following two things : a . Set the node that is being expanded to point to the already existing node ...
... already exists . 2. If it does not , simply add it to the graph just as for a tree . 3. If it does already exist , then do the following two things : a . Set the node that is being expanded to point to the already existing node ...
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... already been generated but not processed ) . If so , call that node OLD . Since this node already exists in the graph , we can throw SUCCESSOR away , and add OLD to the list of BESTNODE's suc- cessors . Now we must decide whether OLD's ...
... already been generated but not processed ) . If so , call that node OLD . Since this node already exists in the graph , we can throw SUCCESSOR away , and add OLD to the list of BESTNODE's suc- cessors . Now we must decide whether OLD's ...
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... already on the agenda . If so , then see if this same reason for doing it is already on its list of justifications . If so , ignore this current evidence . If this justification was not already present , add it to the list . If the task ...
... already on the agenda . If so , then see if this same reason for doing it is already on its list of justifications . If so , ignore this current evidence . If this justification was not already present , add it to the list . If the task ...
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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