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 82
Página 186
... given some set of observations we have made . Let = P ( H ; | E ) P ( E / H ; ) = P ( H1 ) k = = the probability that hypothesis H ; is true given evidence E the probability that we will observe evidence E given that hypothesis i is ...
... given some set of observations we have made . Let = P ( H ; | E ) P ( E / H ; ) = P ( H1 ) k = = the probability that hypothesis H ; is true given evidence E the probability that we will observe evidence E given that hypothesis i is ...
Página 194
... given as CF [ h , e ] = MB [ h , e ] MD [ h , e ] Notice that if CF is positive , the system believes that the hypothesis is true ; if CF is negative , there is more evidence against it and the system believes it to be false . By ...
... given as CF [ h , e ] = MB [ h , e ] MD [ h , e ] Notice that if CF is positive , the system believes that the hypothesis is true ; if CF is negative , there is more evidence against it and the system believes it to be false . By ...
Página 253
... given state was described by a set of predi- cates representing the facts that were true in that state . Each distinct state was represented explicitly as part of the predicate . For example , Figure 8-1 shows how a state , called SO ...
... given state was described by a set of predi- cates representing the facts that were true in that state . Each distinct state was represented explicitly as part of the predicate . For example , Figure 8-1 shows how a state , called SO ...
Otras ediciones - Ver todas
Términos y frases comunes
A.I. programs algorithm answer applied approach appropriate arcs ARMEMPTY Artificial Intelligence backtracking best-first search branching factor breadth-first search Chapter chess clauses CLEAR(A complete Computer concept conceptual dependency consider constraints contains database described discussed domain example expert systems exploit explore fact frame game tree goal grammar graph heuristic heuristic function important input INTERLISP ISA links John knowledge representation labelings learning LISP machine Marcus match methods minimax move MYCIN natural language 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 variety