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 106
... usually inappropriate . Those bounds are usually very bad because they do not take into account the many constraints imposed by the complex structure of the real world — the very structure that A.I. techniques attempt to exploit ...
... usually inappropriate . Those bounds are usually very bad because they do not take into account the many constraints imposed by the complex structure of the real world — the very structure that A.I. techniques attempt to exploit ...
Página 115
... usually possible , even with a good plausible - move generator , to search until a goal state is found . The depth of the resulting tree ( or graph ) and its branching factor are too great . In the amount of time available , it is usually ...
... usually possible , even with a good plausible - move generator , to search until a goal state is found . The depth of the resulting tree ( or graph ) and its branching factor are too great . In the amount of time available , it is usually ...
Página 205
... usually be part of many other relations as well . Living thing Isa Isa Animal Plant Isa Isa Isa Isa Pet Livestock Tree Bush Isa Isa Isa Isa Dog Cat Horse Oak Isa Isa German Shepherd Poodle Dog Ispart Ispart Ispart Ispart Head Body ...
... usually be part of many other relations as well . Living thing Isa Isa Animal Plant Isa Isa Isa Isa Pet Livestock Tree Bush Isa Isa Isa Isa Dog Cat Horse Oak Isa Isa German Shepherd Poodle Dog Ispart Ispart Ispart Ispart Head Body ...
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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