Artificial Intelligence |
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Página 291
2 Now let us return to the constraint language itself . Recall that it allows for the
expression of facts as arbitrary logical expressions . Since first - order logic is
much more powerful than CYC ' s frame language , why does CYC maintain both
?
2 Now let us return to the constraint language itself . Recall that it allows for the
expression of facts as arbitrary logical expressions . Since first - order logic is
much more powerful than CYC ' s frame language , why does CYC maintain both
?
Página 378
The Good Side : Language allows speakers to be as vague or as precise as they
like . It also allows speakers to leave out things they believe their hearers already
know . The Problem : The same expression means different things in different ...
The Good Side : Language allows speakers to be as vague or as precise as they
like . It also allows speakers to leave out things they believe their hearers already
know . The Problem : The same expression means different things in different ...
Página 602
ELIZA — a computer program for the study of natural language commurication
between man and machine . Communications of the ACM 9 ( 1 ) : 36 – 44 . Weld ,
D . S . and J . de Kleer , eds . 1988 . Readings in Qualitative Reasoning about ...
ELIZA — a computer program for the study of natural language commurication
between man and machine . Communications of the ACM 9 ( 1 ) : 36 – 44 . Weld ,
D . S . and J . de Kleer , eds . 1988 . Readings in Qualitative Reasoning 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 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