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 138
... represent the obvious fact stated by the classical sentence Socrates is a man . We could write SOCRATESMAN But if we also wanted to represent Plato is a man . we would have to write something such as PLATOMAN which would be a totally ...
... represent the obvious fact stated by the classical sentence Socrates is a man . We could write SOCRATESMAN But if we also wanted to represent Plato is a man . we would have to write something such as PLATOMAN which would be a totally ...
Página 202
... represent knowledge of how to do things . It is easy to represent knowledge that does not fit well into many simple declarative schemes . Examples of this are default and probabilistic reason- ing . It is easy to represent heuristic ...
... represent knowledge of how to do things . It is easy to represent knowledge that does not fit well into many simple declarative schemes . Examples of this are default and probabilistic reason- ing . It is easy to represent heuristic ...
Página 219
... represent objects that exist independently of their relationship to each other . But now suppose we want to represent the fact that John is taller than Bill , using the net John Bill Height Height Greater - than H1 H2 The nodes H1 and ...
... represent objects that exist independently of their relationship to each other . But now suppose we want to represent the fact that John is taller than Bill , using the net John Bill Height Height Greater - than H1 H2 The nodes H1 and ...
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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