Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas A revision of an established text for undergraduate and postgraduate Artificial Intelligence courses, this text incorporates the latest research and methods. |
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Página 278
... indicates two way link between actor and action . ⚫p indicates past tense . • ATRANS is one of the primitive acts used by the theory . It indicates transfer of possession . ⚫o indicates the object case relation . • R indicates the ...
... indicates two way link between actor and action . ⚫p indicates past tense . • ATRANS is one of the primitive acts used by the theory . It indicates transfer of possession . ⚫o indicates the object case relation . • R indicates the ...
Página 281
... indicates that smoking kills one . Since it is marked c , however , we know only that smoking can kill one , not that it necessarily does . The horizontal causality link indicates that it is that first causality that made me stop ...
... indicates that smoking kills one . Since it is marked c , however , we know only that smoking can kill one , not that it necessarily does . The horizontal causality link indicates that it is that first causality that made me stop ...
Página 548
... indicates that the conclusion is not valid . In the example rule shown above , the number 4 indicates that the absence of the evidence is strongly discouraging for the conclusion . DESIGN ADVISOR [ Steele et al . , 1989 ] is a system ...
... indicates that the conclusion is not valid . In the example rule shown above , the number 4 indicates that the absence of the evidence is strongly discouraging for the conclusion . DESIGN ADVISOR [ Steele et al . , 1989 ] is a system ...
Contenido
What Is Artificial Intelligence? | 3 |
5 | 24 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Términos y frases comunes
Abbott agents algorithm answer apply approach ARMEMPTY assertions attributes axioms backpropagation backtracking backward belief best-first search breadth-first search Caesar called Chapter chess clauses complete concept conceptual dependency consider constraints contains contradiction corresponding define depth-first depth-first search described discussed domain example fact function game tree goal grammar graph heuristic Horn clauses important inference inheritance input instance interpretation isa links John justification knowledge base knowledge representation labeled learning Marcus match minimax move MYCIN natural language node object ON(B ON(C operators output parsing particular path perceptron perform players possible preconditions predicate logic problem problem-solving procedure produce PROLOG represent result robot rules script Section semantic semantic net sentence shown in Figure simple slot solution solve specific step structure Suppose syntactic task techniques theorem things tree truth maintenance system understanding variables version space