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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... interpretation of a set of sentences is hard , once part of that interpretation has been built , it can be used to provide assistance in understanding the remaining individual sentences of a text . In our discussion of the process of ...
... interpretation of a set of sentences is hard , once part of that interpretation has been built , it can be used to provide assistance in understanding the remaining individual sentences of a text . In our discussion of the process of ...
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... interpretation of the sentence . In this example , if the auxiliary verb interpretation of have were chosen first and the end of the sentence appeared with no main verb having been seen , the under- stander would detect failure and ...
... interpretation of the sentence . In this example , if the auxiliary verb interpretation of have were chosen first and the end of the sentence appeared with no main verb having been seen , the under- stander would detect failure and ...
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... interpretation , which proves to be wrong . A classic example of this phenomenon , called the garden path sentence , is The horse raced past the barn fell down . Although the problems of deciding which paths to follow and how to handle ...
... interpretation , which proves to be wrong . A classic example of this phenomenon , called the garden path sentence , is The horse raced past the barn fell down . Although the problems of deciding which paths to follow and how to handle ...
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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