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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... Understanding Hard ? 297 9.2 Understanding Single Sentences 302 9.2.1 Keyword Matching 305 9.2.2 Syntactic Analysis 307 9.2.3 Semantic Analysis 320 9.3 Understanding Multiple Sentences 328 9.3.1 Using Focus in Understanding 329 9.3.2 ...
... Understanding Hard ? 297 9.2 Understanding Single Sentences 302 9.2.1 Keyword Matching 305 9.2.2 Syntactic Analysis 307 9.2.3 Semantic Analysis 320 9.3 Understanding Multiple Sentences 328 9.3.1 Using Focus in Understanding 329 9.3.2 ...
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... understanding problem into two tasks : • Understanding written text , using lexical , syntactic , and semantic knowledge of the language as well as the required real world information . • Understanding spoken language , using all the ...
... understanding problem into two tasks : • Understanding written text , using lexical , syntactic , and semantic knowledge of the language as well as the required real world information . • Understanding spoken language , using all the ...
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... understanding by computers is to dialogues between computer systems and their users . But , for a variety of reasons , dialogue understanding is par- ticularly difficult . Figure 9-22 shows an excerpt from a sample conversation between ...
... understanding by computers is to dialogues between computer systems and their users . But , for a variety of reasons , dialogue understanding is par- ticularly difficult . Figure 9-22 shows an excerpt from a sample conversation between ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language node objects ON(B operators parsing particular path performed possible preconditions predicate logic probabilistic problem problem-solving produce production system PROLOG propositional logic question reasoning representing knowledge rules Schank script search procedure search process Section semantic net sentence shown in Figure simple situation slots solution solve specific stack statements step strategy structure successors Suppose syntactic task techniques theorem things tion tree true variety