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 37
Página 362
... learning is before we can design tech- niques to perform it . One way to approach this is not to try to define learning as a task , but rather to characterize the class of learning programs as distinct from other programs ...
... learning is before we can design tech- niques to perform it . One way to approach this is not to try to define learning as a task , but rather to characterize the class of learning programs as distinct from other programs ...
Página 363
Elaine Rich. 11.2 RANDOM LEARNING AND NEURAL NETS The analogy between human learning and machine learning is alluring . People learn by changing the structure of the neural network that makes up their brains . Why then should we not ...
Elaine Rich. 11.2 RANDOM LEARNING AND NEURAL NETS The analogy between human learning and machine learning is alluring . People learn by changing the structure of the neural network that makes up their brains . Why then should we not ...
Página 368
... learning the differences that GPS would use . To apply GPS to the problem of discovering a good set of differences to be used by another copy of GPS working in a given problem domain , it is necessary ... LEARNING CHAP . 11 Concept Learning.
... learning the differences that GPS would use . To apply GPS to the problem of discovering a good set of differences to be used by another copy of GPS working in a given problem domain , it is necessary ... LEARNING CHAP . 11 Concept Learning.
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