Artificial Intelligence |
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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 . CT ON ( B . C ) Put B on C T ONICA EE CLEAR ( A ) CONCA . B )
ON ( B , C ) CLEAR ( A ) ON ( A , B ) Move A to table Put A on B CLEAR ( A ) ON ...
10 : A Simple Blocks World Problem ON ( B , C ) and ON ( A , B ) ON ( B , C ) ON (
A , B ) ONB . CT ON ( B . C ) Put B on C T ONICA EE CLEAR ( A ) CONCA . B )
ON ( B , C ) CLEAR ( A ) ON ( A , B ) Move A to table Put A on B CLEAR ( A ) ON ...
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 334
1 : A Simple Blocks World Description Choosing Rules to Apply The most widely
used technique for selecting appropriate rules to apply is first to isolate a set of
differences between the desired goal state and the current state and then to ...
1 : A Simple Blocks World Description Choosing Rules to Apply The most widely
used technique for selecting appropriate rules to apply is first to isolate a set of
differences between the desired goal state and the current state and then to ...
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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