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 266
... efficient way of solving this problem . There are two approaches we can take to the question of how a good plan could be found . One is to look at ways to repair the plan we already have to make it more efficient . In this case , that ...
... efficient way of solving this problem . There are two approaches we can take to the question of how a good plan could be found . One is to look at ways to repair the plan we already have to make it more efficient . In this case , that ...
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... efficient parsing procedures . Regular languages can be recognized , using a finite state machine , in time that is linear in the length of the input string . A finite state machine is a structure in which computation is modeled as the ...
... efficient parsing procedures . Regular languages can be recognized , using a finite state machine , in time that is linear in the length of the input string . A finite state machine is a structure in which computation is modeled as the ...
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... efficient parsing algorithms have been developed and are used exten- sively in compilers for programming languages . Unfortunately , although most programming languages can be described fairly well by context - free rules , English ...
... efficient parsing algorithms have been developed and are used exten- sively in compilers for programming languages . Unfortunately , although most programming languages can be described fairly well by context - free rules , English ...
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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