Artificial Intelligence |
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Knowledge about which paths are most likely to lead quickly to a goal state is
often called search control knowledge . It can take many forms : 1 . Knowledge
about which states are more preferable to others . 2 . Knowledge about which
rule to ...
Knowledge about which paths are most likely to lead quickly to a goal state is
often called search control knowledge . It can take many forms : 1 . Knowledge
about which states are more preferable to others . 2 . Knowledge about which
rule to ...
Página 289
Form and Content - The techniques we have seen so far for representing and
using knowledge may or may not be sufficient for the purposes of Al . One good
way to find out is to start coding large amounts of commonsense knowledge and
see ...
Form and Content - The techniques we have seen so far for representing and
using knowledge may or may not be sufficient for the purposes of Al . One good
way to find out is to start coding large amounts of commonsense knowledge and
see ...
Página 553
4 Knowledge Acquisition How are expert systems built ? Typically , a knowledge
engineer interviews a domain expert to elucidate expert knowledge , which is
then translated into rules . After the initial system is built , it must be iteratively ...
4 Knowledge Acquisition How are expert systems built ? Typically , a knowledge
engineer interviews a domain expert to elucidate expert knowledge , which is
then translated into rules . After the initial system is built , it must be iteratively ...
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Contenido
Problems Problem Spaces and Search | 29 |
7 | 61 |
Knowledge Representation Issues | 105 |
Derechos de autor | |
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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