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 137
... LOGIC With that caveat , we can begin exploring one particular way of representing facts , the language of logic . Other representational formalisms will be discussed in later chapters . The logical formalism is appealing because it ...
... LOGIC With that caveat , we can begin exploring one particular way of representing facts , the language of logic . Other representational formalisms will be discussed in later chapters . The logical formalism is appealing because it ...
Página 138
... logic as a way of 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 ...
... logic as a way of 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 ...
Página 139
... logic , it does not possess a decision procedure , even an exponential one . There do exist procedures that will find a proof of a proposed theorem if indeed it is a theorem , but they are not guaranteed to halt if the proposed ...
... logic , it does not possess a decision procedure , even an exponential one . There do exist procedures that will find a proof of a proposed theorem if indeed it is a theorem , but they are not guaranteed to halt if the proposed ...
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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