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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... Go 5 , 308 , 325 go - moku 326 goal - directed reasoning 178 , 332 , 420 Government Binding 386 GPS 4 , 24 , 95 , 349 GPSG 386 graceful decay of admissibility 79 , 100 gradient search 67 , 496 grammars 386 , 567 bigram 569 case 118 ...
... Go 5 , 308 , 325 go - moku 326 goal - directed reasoning 178 , 332 , 420 Government Binding 386 GPS 4 , 24 , 95 , 349 GPSG 386 graceful decay of admissibility 79 , 100 gradient search 67 , 496 grammars 386 , 567 bigram 569 case 118 ...
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