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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... definition should provide a good outline of what constitutes artificial intelligence , and it avoids the philosophical issues that dominate attempts to define the meaning of either artifi- cial or intelligence . What then are some of ...
... definition should provide a good outline of what constitutes artificial intelligence , and it avoids the philosophical issues that dominate attempts to define the meaning of either artifi- cial or intelligence . What then are some of ...
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... definition is that it is too vague to be useful . We need a more precise definition of what learning is before we can ... define precisely what a learning program is ( e.g. , [ Smith , 1977 ] ) , they have not met with a great deal of ...
... definition is that it is too vague to be useful . We need a more precise definition of what learning is before we can ... define precisely what a learning program is ( e.g. , [ Smith , 1977 ] ) , they have not met with a great deal of ...
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... Define a goal for the learning task . This goal is to produce a good set of differences for the application task . 3. Define a set of differences to be used by the learning task . This can be done by specifying criteria to be met by a ...
... Define a goal for the learning task . This goal is to produce a good set of differences for the application task . 3. Define a set of differences to be used by the learning task . This can be done by specifying criteria to be met by a ...
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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