Artificial IntelligenceThe breadth of A. I. is explored and explained in this best selling text. Assuming no prior knowledge,it covers topics like neural networks and robotics. This text explores the range of problems which have been and remain to be solved using A. I. tools and techniques. The second half of this text is an excellent reference. |
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Página 131
Chapter 5 Using Predicate Logic In this chapter , we begin exploring one
particular way of representing facts — the language of logic . Other
representational formalisms are discussed in later chapters . The logical
formalism is appealing ...
Chapter 5 Using Predicate Logic In this chapter , we begin exploring one
particular way of representing facts — the language of logic . Other
representational formalisms are discussed in later chapters . The logical
formalism is appealing ...
Página 133
So we appear to be forced to move to first - order predicate logic ( or just
predicate logic , since we do not discuss higher order ... But a major motivation
for choosing to use logic at all is that if we use logical statements as a way of
representing ...
So we appear to be forced to move to first - order predicate logic ( or just
predicate logic , since we do not discuss higher order ... But a major motivation
for choosing to use logic at all is that if we use logical statements as a way of
representing ...
Página 201
Nonmonotonic Logic3 • Default Logic We then describe two common kinds of
nonmonotonic reasoning that can be defined in those logics : • Abduction •
Inheritance Nonmonotonic Logic One system that provides a basis for default
reasoning ...
Nonmonotonic Logic3 • Default Logic We then describe two common kinds of
nonmonotonic reasoning that can be defined in those logics : • Abduction •
Inheritance Nonmonotonic Logic One system that provides a basis for default
reasoning ...
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Contenido
Problems Problem Spaces and Search | 29 |
7 | 61 |
Knowledge Representation Issues | 105 |
Derechos de autor | |
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Términos y frases comunes
active addition agents algorithm allow answer apply approach assertions becomes belief build called Chapter choose clauses combined complete concept consider consistent constraints contains corresponding define dependency described discussed domain elements example fact Figure function given goal heuristic important initial input instance interpretation John kinds knowledge knowledge base labeled language learning logic look match meaning methods move natural necessary node object occur operators output particular path perform position possible predicate present problem procedure produce properties question reasoning relation represent representation result robot rules semantic sentence shown in Figure shows simple single situation slot solution solve space specific statements step stored structure Suppose task techniques things tree true understanding units usually variables weights
Información bibliográfica
| Título | Artificial Intelligence Artificial Intelligence Series Mac Graw-Hill series in artificial inteligence |
| Autores | Elaine Rich, Kevin Knight, Knight Kevin |
| Edición | 2, ilustrada |
| Editor | McGraw-Hill, 1991 |
| ISBN | 0070522634, 9780070522633 |
| Largo | 621 páginas |
| Exportar cita | BiBTeX EndNote RefMan |