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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... domain for a program such as this . No reasonable number of rules will provide the program with a significant under- standing of the world . So choose a domain where interesting behavior can be exhibited without such understanding ...
... domain for a program such as this . No reasonable number of rules will provide the program with a significant under- standing of the world . So choose a domain where interesting behavior can be exhibited without such understanding ...
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... domain in which we are working and extracted a set of con- straints that objects in the domain must satisfy , we need next to apply those con- straints to the problem of analyzing inputs in the domain . To do this , we use a form of the ...
... domain in which we are working and extracted a set of con- straints that objects in the domain must satisfy , we need next to apply those con- straints to the problem of analyzing inputs in the domain . To do this , we use a form of the ...
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... domain is that of determining a good set of differences to be used in select- ing operators . This task could also ... domain , it is necessary to do the following things : 1. Input the set of operators that will be available in the ...
... domain is that of determining a good set of differences to be used in select- ing operators . This task could also ... domain , it is necessary to do the following things : 1. Input the set of operators that will be available in the ...
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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