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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... efficient in terms of time as the first one since it has to check several conditions before making each move . But it is a lot more ef- ficient in terms of space . It is also a lot easier to understand its strategy or to change that ...
... efficient in terms of time as the first one since it has to check several conditions before making each move . But it is a lot more ef- ficient in terms of space . It is also a lot easier to understand its strategy or to change that ...
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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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