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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... represented efficiently ? For example , a robot's world is composed of many objects . We first dis- cover a way to describe each individual object's state and each fact that could be true about relationships among objects . We would ...
... represented efficiently ? For example , a robot's world is composed of many objects . We first dis- cover a way to describe each individual object's state and each fact that could be true about relationships among objects . We would ...
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... Representing Knowledge Semantic nets were originally designed as a way to represent the meanings of English words . In a semantic net , information is represented as a set of nodes connected to each other by a set of labeled arcs ...
... Representing Knowledge Semantic nets were originally designed as a way to represent the meanings of English words . In a semantic net , information is represented as a set of nodes connected to each other by a set of labeled arcs ...
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... represented by the events it contains . Thus although scripts are less general structures than are frames , and so are not suitable for represent- ing all kinds of knowledge , they can be very effective for representing the specific ...
... represented by the events it contains . Thus although scripts are less general structures than are frames , and so are not suitable for represent- ing all kinds of knowledge , they can be very effective for representing the specific ...
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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