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 204
... pattern it after the one for baseball players , we get Adult - Male ( x ) : height ( x , 5-10 ) height ( x , 5-10 ) Unfortunately , this rule does not work as we would like . In particular , if we again assert Pitcher ( Three - Finger ...
... pattern it after the one for baseball players , we get Adult - Male ( x ) : height ( x , 5-10 ) height ( x , 5-10 ) Unfortunately , this rule does not work as we would like . In particular , if we again assert Pitcher ( Three - Finger ...
Página 521
... 5 6 7 8 Figure 18.24 : A Localist Representation of Location ( 2 3 ) on an 8 ... pattern of activity across all the units , we can actually be quite precise ... 5 3 X 2 1 1 2 18.5 . DISTRIBUTED REPRESENTATIONS 521.
... 5 6 7 8 Figure 18.24 : A Localist Representation of Location ( 2 3 ) on an 8 ... pattern of activity across all the units , we can actually be quite precise ... 5 3 X 2 1 1 2 18.5 . DISTRIBUTED REPRESENTATIONS 521.
Página 618
... pattern recognition 563 payoff matrices 438 , 446 perception 4 , 5 , 559 , 563 perceptron convergence theorem 498 perceptron learning 492 , 497 perceptrons 24 , 492 , 525 perplexity 569 physical symbol system 6 physics , qualitative 530 ...
... pattern recognition 563 payoff matrices 438 , 446 perception 4 , 5 , 559 , 563 perceptron convergence theorem 498 perceptron learning 492 , 497 perceptrons 24 , 492 , 525 perplexity 569 physical symbol system 6 physics , qualitative 530 ...
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