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 73
... solution . For some problems , this means generating a particular point in the problem space . For others , it means generating a path from a start state . 2. Test to see if this is actually a solution by comparing the chosen point or ...
... solution . For some problems , this means generating a particular point in the problem space . For others , it means generating a path from a start state . 2. Test to see if this is actually a solution by comparing the chosen point or ...
Página 75
... solution is being per- formed . The Hill - Climbing Procedure 1. Generate the first proposed solution in the same way as would be done in the generate - and - test procedure . See if it is a solution . If so , quit . Else continue . 2 ...
... solution is being per- formed . The Hill - Climbing Procedure 1. Generate the first proposed solution in the same way as would be done in the generate - and - test procedure . See if it is a solution . If so , quit . Else continue . 2 ...
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... solution to the original problem . Of course , if they do , then nothing more need be done . If they do not , however , there are a variety of things that we can do . The simplest is just to throw out the solution , look for another one ...
... solution to the original problem . Of course , if they do , then nothing more need be done . If they do not , however , there are a variety of things that we can do . The simplest is just to throw out the solution , look for another one ...
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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