Artificial Intelligence, Volumen1McGraw-Hill, 1983 - 436 páginas What is artificial intelligence?; Problem solving; Problems and problem spaces; Basic problem-solving methods; Game playing; Knowledge representation; Knowledge representation using predicate logic; Knowledge representation using other logics; Structured representation of knowledge; Advanced topics; Advanced problem-solving systems; Natural language understanding; Perception; Learning; Implementing A.lI. systems: languages and machines; Conclusion; References; Index. |
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... sections of this chapter will address these questions . The following section is a survey of some A.I. books that may be of interest . And the final section summarizes the chapter . 1.2 THE UNDERLYING ASSUMPTION At the heart of research ...
... sections of this chapter will address these questions . The following section is a survey of some A.I. books that may be of interest . And the final section summarizes the chapter . 1.2 THE UNDERLYING ASSUMPTION At the heart of research ...
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... Section 2.1.3 , the advantage of being less combinatorially ex- plosive than comparable global methods . But it also shares with other local methods a lack of a guarantee that it will be effective . Hill climbing can be very inefficient ...
... Section 2.1.3 , the advantage of being less combinatorially ex- plosive than comparable global methods . But it also shares with other local methods a lack of a guarantee that it will be effective . Hill climbing can be very inefficient ...
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... section , we will discuss briefly how some of the knowledge representations described in Chapter 7 can be exploited by a language - understanding program . 9.3.1 Using Focus in Understanding There are two important parts of the process ...
... section , we will discuss briefly how some of the knowledge representations described in Chapter 7 can be exploited by a language - understanding program . 9.3.1 Using Focus in Understanding There are two important parts of the process ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraint contains database described discussed domain example expert systems exploit explore fact frame game tree given grammar graph heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP Marcus match minimax move MTRANS MYCIN node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production systems PROLOG propositional logic question reasoning representing knowledge resolution rules satisfied script search procedure search process Section semantic net semantic nets sentence shown in Figure simple situation slots solution solve specific statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true understanding UNSTACK variable variety vertex