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 59
... determining the cause of a patient's illness . To do that , it uses rules that tell it such things as " If the organism has the following set of characteristics as determined by the lab results , then it is likely that it is or- ganism ...
... determining the cause of a patient's illness . To do that , it uses rules that tell it such things as " If the organism has the following set of characteristics as determined by the lab results , then it is likely that it is or- ganism ...
Página 120
... determined by the static evaluation function . 2. Otherwise , generate one more ply of the tree by calling MOVEGEN ( POSITION ) and setting SUCCESSORS to the list it returns . 3. If SUCCESSORS is empty , then there are no moves to be ...
... determined by the static evaluation function . 2. Otherwise , generate one more ply of the tree by calling MOVEGEN ( POSITION ) and setting SUCCESSORS to the list it returns . 3. If SUCCESSORS is empty , then there are no moves to be ...
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... determine the category of ORGANISM - 1 . ) • What other information does the system already have that makes it think ... determined the fact to fire . by reasoning backward from its top - level goal and by keeping track of the entire ...
... determine the category of ORGANISM - 1 . ) • What other information does the system already have that makes it think ... determined the fact to fire . by reasoning backward from its top - level goal and by keeping track of the entire ...
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A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language 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 variety