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 184
... reasoning and dependency - directed backtracking should be clear even from this simple example . Unfortunately , nothing is ever free and the price to be paid for this kind of reasoning is that the justifications for each statement must ...
... reasoning and dependency - directed backtracking should be clear even from this simple example . Unfortunately , nothing is ever free and the price to be paid for this kind of reasoning is that the justifications for each statement must ...
Página 191
... reasoning of a rule - based system . Suppose a person asked a chess program why it chose a particular move . If the program used a simple statistical static evaluation ... REASONING 191 MYCIN: A Rule-Based System Using Inexact Reasoning.
... reasoning of a rule - based system . Suppose a person asked a chess program why it chose a particular move . If the program used a simple statistical static evaluation ... REASONING 191 MYCIN: A Rule-Based System Using Inexact Reasoning.
Página 197
... reasoning process to a physician and then to accept statements from the physician about how the rules should be revised . Thus there are still problems to be solved ... REASONING 197 Conclusion: When Is Probabilistic Reasoning a Good Idea?
... reasoning process to a physician and then to accept statements from the physician about how the rules should be revised . Thus there are still problems to be solved ... REASONING 197 Conclusion: When Is Probabilistic Reasoning a Good Idea?
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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