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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Elaine Rich, Kevin Knight. Chapter 5 Using Predicate Logic In this chapter , we begin exploring one particular way of representing facts — the lan- guage of logic . Other representational formalisms are discussed in later chapters . The ...
Elaine Rich, Kevin Knight. Chapter 5 Using Predicate Logic In this chapter , we begin exploring one particular way of representing facts — the lan- guage of logic . Other representational formalisms are discussed in later chapters . The ...
Página 192
... Chapter 8 , we introduce the idea of attaching probabilistic measures to rules . And , in Chapter 20 , we look at how rule - based systems are being used to solve complex , real - world problems . The book Pattern - Directed Inference ...
... Chapter 8 , we introduce the idea of attaching probabilistic measures to rules . And , in Chapter 20 , we look at how rule - based systems are being used to solve complex , real - world problems . The book Pattern - Directed Inference ...
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... chapter , we presented a brief introduction to the surprisingly hard problem of language understanding . Recall that in Chapter 14 , we showed that at least one under- standing problem , line labeling , could effectively be viewed as a ...
... chapter , we presented a brief introduction to the surprisingly hard problem of language understanding . Recall that in Chapter 14 , we showed that at least one under- standing problem , line labeling , could effectively be viewed as a ...
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