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 46
10 : A Simple Blocks World Problem ON ( B , C ) and ON ( A , B ) ON ( B , C ) ON (
A , B ) ONB . ... y ) ( put x on y ] Applying the technique of problem decomposition
to this simple blocks world example would lead to a solution tree such as that ...
10 : A Simple Blocks World Problem ON ( B , C ) and ON ( A , B ) ON ( B , C ) ON (
A , B ) ONB . ... y ) ( put x on y ] Applying the technique of problem decomposition
to this simple blocks world example would lead to a solution tree such as that ...
Página 110
4 : Simple Relational Knowledge The reason that this representation is simple is
that standing alone it provides very weak inferential capabilities . But knowledge
represented in this form may serve as the input to more powerful inference ...
4 : Simple Relational Knowledge The reason that this representation is simple is
that standing alone it provides very weak inferential capabilities . But knowledge
represented in this form may serve as the input to more powerful inference ...
Página 309
A very simple static evaluation function for chess based on piece advantage was
proposed by Turing — simply add the ... in which the static evaluation function
was a linear combination of several simple functions , each of which appeared as
...
A very simple static evaluation function for chess based on piece advantage was
proposed by Turing — simply add the ... in which the static evaluation function
was a linear combination of several simple functions , each of which appeared as
...
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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 |