Artificial Intelligence, Volumen1What 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 94
3.6.7 Constraint Satisfaction Many problems in A.I. can be viewed as problems of
constraint satisfaction in which the goal is to discover some problem state that
satisfies a given set of constraints . Examples of this sort of problem include ...
3.6.7 Constraint Satisfaction Many problems in A.I. can be viewed as problems of
constraint satisfaction in which the goal is to discover some problem state that
satisfies a given set of constraints . Examples of this sort of problem include ...
Página 95
list of constraints that changes as pieces of the problem are solved , and to
augment the search mechanism to manipulate ... space but the rule patterns and
the heuristic function make reference to the current position in the constraint
space .
list of constraints that changes as pieces of the problem are solved , and to
augment the search mechanism to manipulate ... space but the rule patterns and
the heuristic function make reference to the current position in the constraint
space .
Página 98
At this point , control could be passed to the problem solver , leaving the
uncertainty in the constraints . But sometimes it is better to branch from the
constraint generator so that the problem solver has more to work with . This is
true when the ...
At this point , control could be passed to the problem solver , leaving the
uncertainty in the constraints . But sometimes it is better to branch from the
constraint generator so that the problem solver has more to work with . This is
true when the ...
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Contenido
PART ONE PROBLEM SOLVING | 23 |
Basic Problem Solving Methods | 55 |
Game Playing | 113 |
Derechos de autor | |
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Términos y frases comunes
additional algorithm already answer appear applied approach appropriate attempt block called chapter choose clauses combined complete concept consider constraint contains corresponding dependency described determine discussed domain evidence example exploit explore fact frame function given goal grammar graph heuristic important indicates initial input interpretation involved John kinds knowledge known labelings language lead learning logic look match means methods move necessary node objects occur operators particular path performed position possible preconditions predicate present probability problem procedure produce prove question reasoning representation represented result rules satisfied script selected semantic sentence shown in Figure shows simple single situation solution solve space specific statements step stored structure Suppose task techniques things tion tree true understanding variety
Referencias a este libro
Human-computer Interaction Alan Dix,Alan John Dix,Janet Finlay,Gregory D. Abowd,Russell Beale Sin vista previa disponible - 2003 |
Información bibliográfica
| Título | Artificial Intelligence, Volumen1 Artificial Intelligence International student edition International student edition: MacGraw-Hill McGraw-Hill computer science series McGraw-Hill international editions McGraw-Hill series in artificial intelligence Synthesis lectures on computer science |
| Autores | Elaine Rich, Rich Elaine |
| Edición | 6, ilustrada, reimpresa |
| Editor | McGraw-Hill, 1983 |
| ISBN | 0070522618, 9780070522619 |
| Largo | 436 páginas |
| Exportar cita | BiBTeX EndNote RefMan |