Artificial Intelligence |
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Consider , for example , the task faced by the mathematics discovery program AM
, written by Lenat ( 1977 ; 1982 ) . AM was given a small set of starting facts about
number theory and a set of operators it could use to develop new ideas .
Consider , for example , the task faced by the mathematics discovery program AM
, written by Lenat ( 1977 ; 1982 ) . AM was given a small set of starting facts about
number theory and a set of operators it could use to develop new ideas .
Página 81
These measures are then combined at this step to produce an overall rating for
the task . One important question that arises in agenda - driven systems is how to
find the most promising task on each cycle . One way to do this is simple .
These measures are then combined at this step to produce an overall rating for
the task . One important question that arises in agenda - driven systems is how to
find the most promising task on each cycle . One way to do this is simple .
Página 379
In fact , the techniques we discuss are particularly important in the task of
translating from one natural language to another . Natural language processing
includes both understanding and generation , as well as other tasks such as
multilingual ...
In fact , the techniques we discuss are particularly important in the task of
translating from one natural language to another . Natural language processing
includes both understanding and generation , as well as other tasks such as
multilingual ...
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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