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 ...
Página 25
... Define the problem precisely . specifications of what the initial situation ( s ) will be as well as what final situations constitute acceptable solutions to the problem . This definition must include precise 2. Analyze the problem . A ...
... Define the problem precisely . specifications of what the initial situation ( s ) will be as well as what final situations constitute acceptable solutions to the problem . This definition must include precise 2. Analyze the problem . A ...
Página 368
... 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 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