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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Elaine Rich. CHAPTER 5 KNOWLEDGE REPRESENTATION USING PREDICATE LOGIC 5.1 INTRODUCTION TO REPRESENTATION In order to solve the complex problems encountered in artificial intelligence , one needs both a large amount of knowledge and some ...
Elaine Rich. CHAPTER 5 KNOWLEDGE REPRESENTATION USING PREDICATE LOGIC 5.1 INTRODUCTION TO REPRESENTATION In order to solve the complex problems encountered in artificial intelligence , one needs both a large amount of knowledge and some ...
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... representing knowledge because it permits representions of things that cannot reasonably be represented in propositional logic . In predicate logic , we can represent real - world facts as statements written as wff's . But a major ...
... representing knowledge because it permits representions of things that cannot reasonably be represented in propositional logic . In predicate logic , we can represent real - world facts as statements written as wff's . But a major ...
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... REPRESENTATION So far , we have discussed fairly static ways of representing knowledge . A variety of ways of representing facts has been presented , and associated with each there have been a small number of procedures that manipulate ...
... REPRESENTATION So far , we have discussed fairly static ways of representing knowledge . A variety of ways of representing facts has been presented , and associated with each there have been a small number of procedures that manipulate ...
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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