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 21
... solve them , we may accomplish at least two important objectives . We should do the best we can to set criteria so that we can tell if we have solved them . And then we must try to do so . How actually to go about solving these problems ...
... solve them , we may accomplish at least two important objectives . We should do the best we can to set criteria so that we can tell if we have solved them . And then we must try to do so . How actually to go about solving these problems ...
Página 99
... solve the major parts of a problem first and then go back and solve the small problems that arise in " gluing " the big pieces together . A technique known as means - ends analysis allows us to do that . The means - ends analysis ...
... solve the major parts of a problem first and then go back and solve the small problems that arise in " gluing " the big pieces together . A technique known as means - ends analysis allows us to do that . The means - ends analysis ...
Página 178
... solving system may generate , during the process of trying to solve a problem , some knowledge that behaves nonmonotonically . Suppose we want to build a program that generates a solution to a fairly simple problem , such as finding a ...
... solving system may generate , during the process of trying to solve a problem , some knowledge that behaves nonmonotonically . Suppose we want to build a program that generates a solution to a fairly simple problem , such as finding a ...
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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