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. |
Dentro del libro
Resultados 1-3 de 22
Página 212
... meanings . For example , the word fly has a different meaning in each of the following sentences : o John flew to New York . ( He rode in a plane from one place to another . ) o John flew a kite . ( He held a kite that was up in the air ...
... meanings . For example , the word fly has a different meaning in each of the following sentences : o John flew to New York . ( He rode in a plane from one place to another . ) o John flew a kite . ( He held a kite that was up in the air ...
Página 303
... meaning of the word . Unfortunately , many words have several meanings and it may not be possible to choose the correct one just by looking at the word itself . For example , the word diamond might have the following set of meanings : A ...
... meaning of the word . Unfortunately , many words have several meanings and it may not be possible to choose the correct one just by looking at the word itself . For example , the word diamond might have the following set of meanings : A ...
Página 343
... meaning between the two sentences of each pair . John slapped Bill . John punched Bill . Bill drank his coke . Bill ... meanings . For each of the sentences , choose an appropriate representational formalism and show how the different ...
... meaning between the two sentences of each pair . John slapped Bill . John punched Bill . Bill drank his coke . Bill ... meanings . For each of the sentences , choose an appropriate representational formalism and show how the different ...
Otras ediciones - Ver todas
Términos y frases comunes
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