Artificial Intelligence |
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Página 55
Instead , if we analyze our problems carefully and sort our problem - solving
methods by the kinds of problems for which they are suitable , we will be able to
bring to each new problem much of what we have learned from solving other ,
similar ...
Instead , if we analyze our problems carefully and sort our problem - solving
methods by the kinds of problems for which they are suitable , we will be able to
bring to each new problem much of what we have learned from solving other ,
similar ...
Página 94
The second kind are more complex ; they describe relationships between or
among objects . Both kinds of constraints play the same role in the constraint
satisfaction process , and in the cryptarithmetic example they were treated
identically .
The second kind are more complex ; they describe relationships between or
among objects . Both kinds of constraints play the same role in the constraint
satisfaction process , and in the cryptarithmetic example they were treated
identically .
Página 247
6 Summary In this chapter we have shown that Bayesian statistics provide a good
basis for reasoning under various kinds of uncertainty . We have also , though ,
talked about its weaknesses in complex real tasks , and so we have talked about
...
6 Summary In this chapter we have shown that Bayesian statistics provide a good
basis for reasoning under various kinds of uncertainty . We have also , though ,
talked about its weaknesses in complex real tasks , and so we have talked about
...
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Contenido
What Is Artificial Intelligence? | 3 |
Problems Problem Spaces and Search | 29 |
Heuristic Search Techniques | 63 |
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 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