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 viii
... Planning 247 8.1.1 8.1.2 8.1.3 An Example Domain - The Blocks World The Components of a Planning System Simple Planning Using a Goal Stack 251 252 259 8.1.4 Nonlinear Planning Using a Goal Set 267 8.1.5 Hierarchical Planning 271 8.1.6 ...
... Planning 247 8.1.1 8.1.2 8.1.3 An Example Domain - The Blocks World The Components of a Planning System Simple Planning Using a Goal Stack 251 252 259 8.1.4 Nonlinear Planning Using a Goal Set 267 8.1.5 Hierarchical Planning 271 8.1.6 ...
Página 42
... planning to avoid having to undo actual moves , al- though it will still be necessary to backtrack past those moves one at a time during the planning process . Thus a control structure that allows backtracking will be necessary ...
... planning to avoid having to undo actual moves , al- though it will still be necessary to backtrack past those moves one at a time during the planning process . Thus a control structure that allows backtracking will be necessary ...
Página 276
... planning process . An example of a planning system operating in such a domain is MOLGEN [ Stefik , 1981a ; Stefik , 1981b ] , which plans experiments in molecular genetics . In this system , a technique called constraint posting is ex ...
... planning process . An example of a planning system operating in such a domain is MOLGEN [ Stefik , 1981a ; Stefik , 1981b ] , which plans experiments in molecular genetics . In this system , a technique called constraint posting is ex ...
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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