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 353
... labeling Conventions X + メ + х Figure 10-10 : An Example of Line Labeling FORK Y ARROW T T Figure 10-11 : The Four Trihedral Vertex Types figurations are shown in Figure 10-11 . The rotational position of the vertex is not significant ...
... labeling Conventions X + メ + х Figure 10-10 : An Example of Line Labeling FORK Y ARROW T T Figure 10-11 : The Four Trihedral Vertex Types figurations are shown in Figure 10-11 . The rotational position of the vertex is not significant ...
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... labeling a vertex next to one that has already been labeled , maximum use can be made of the con- straints . 3. Visit each vertex V in order and attempt to label it by doing the following : 1. Using the set of possible vertex labelings ...
... labeling a vertex next to one that has already been labeled , maximum use can be made of the con- straints . 3. Visit each vertex V in order and attempt to label it by doing the following : 1. Using the set of possible vertex labelings ...
Página 359
... labeled . Complete this analysis for vertices of objects that occupy two through seven octants . 5. For each of the drawings in Figure 10-7 , show how the Waltz algorithm would produce a labeling . 6. In our description of the Waltz ...
... labeled . Complete this analysis for vertices of objects that occupy two through seven octants . 5. For each of the drawings in Figure 10-7 , show how the Waltz algorithm would produce a labeling . 6. In our description of the Waltz ...
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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