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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addition algorithm already answer appear applied approach appropriate Artificial Intelligence attempt better block called Chapter choose clauses combined complete concept consider contains corresponding dependency described discussed domain example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge labelings language learning logic look machine Marcus match means methods move natural necessary node objects occur operators particular path patterns perform position possible predicate present problem procedure produce prove question reasoning representation represented result rules satisfied script selected semantic sentence shown in Figure shows simple single situation solution solve space specific stack statement step stored structure Suppose task techniques things tion tree true understanding variety