Artificial Intelligence |
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Página 146
Standardize variables so that each quantifier binds a unique variable . Since
variables are just dummy names , this process cannot affect the truth value of the
wff . For example , the formula Hx : P ( x ) VVx : Q ( x ) would be converted to Vx :
P ...
Standardize variables so that each quantifier binds a unique variable . Since
variables are just dummy names , this process cannot affect the truth value of the
wff . For example , the formula Hx : P ( x ) VVx : Q ( x ) would be converted to Vx :
P ...
Página 531
For example , if we want to predict the motion of a ball , we may want to consider
its mass and velocity , but probably not its color . Traditional physical models are
built up from realvalued variables , rates of change , expressions , equations ...
For example , if we want to predict the motion of a ball , we may want to consider
its mass and velocity , but probably not its color . Traditional physical models are
built up from realvalued variables , rates of change , expressions , equations ...
Página 532
Equations — Expressions and variables can be linked to one another via
equations . The simplest equation states that variable x increases as variable y
increases . This gives us an abstract representation of the actual function relating
x and y ...
Equations — Expressions and variables can be linked to one another via
equations . The simplest equation states that variable x increases as variable y
increases . This gives us an abstract representation of the actual function relating
x and y ...
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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