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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Página 212
... script . If we know in advance to use the restaurant script , then we can answer the question easily . But in order to be able to reason about a variety of things , a system must have many scripts for everything from going to work to ...
... script . If we know in advance to use the restaurant script , then we can answer the question easily . But in order to be able to reason about a variety of things , a system must have many scripts for everything from going to work to ...
Página 236
... script form a giant causal chain . The begin- ning of the chain is the set of entry conditions , which enable the first events of the script to occur . The end of the chain is the set of results , which may enable later events or event ...
... script form a giant causal chain . The begin- ning of the chain is the set of entry conditions , which enable the first events of the script to occur . The end of the chain is the set of results , which may enable later events or event ...
Página 238
... script , such as the causal chain represented by the events it contains . Thus although scripts are less general structures than are frames , and so are not suitable for represent- ing all kinds of knowledge , they can be very effective ...
... script , such as the causal chain represented by the events it contains . Thus although scripts are less general structures than are frames , and so are not suitable for represent- ing all kinds of knowledge , they can be very effective ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search blocks world branching factor breadth-first search Caesar Chapter chess clauses CLEAR(A complete concept conceptual dependency consider constraints contains database described discussed domain example exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings LISP Marcus match methods minimax move MYCIN natural language necessary 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 understanding variety