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 xiii
... Perception and Action 21.1 Real - Time Search 21.2 Perception . 556 557 559 561 563 21.3 Action 569 21.4 Robot Architectures 573 21.5 Summary 576 21.6 Exercises . 577 22 Conclusion 579 22.1 Components of an AI Program 579 22.2 Exercises ...
... Perception and Action 21.1 Real - Time Search 21.2 Perception . 556 557 559 561 563 21.3 Action 569 21.4 Robot Architectures 573 21.5 Summary 576 21.6 Exercises . 577 22 Conclusion 579 22.1 Components of an AI Program 579 22.2 Exercises ...
Página 4
... perception ( vision and speech ) , natural language understanding , and problem solving in specialized domains such as medical diagnosis and chemical analysis . Perception of the world around us is crucial to our survival . Animals with ...
... perception ( vision and speech ) , natural language understanding , and problem solving in specialized domains such as medical diagnosis and chemical analysis . Perception of the world around us is crucial to our survival . Animals with ...
Página 576
... perception to action . Another definition , suggested by Grossman , 3 reads as follows : A robot is anything that is surprisingly animate . The word " surprisingly " suggests a moving - target definition . It should be noted that the ...
... perception to action . Another definition , suggested by Grossman , 3 reads as follows : A robot is anything that is surprisingly animate . The word " surprisingly " suggests a moving - target definition . It should be noted that the ...
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