Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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Página 96
Elaine Rich. Move object Move robot Clear object Get object on object Get arm empty Be holding object Push Carry Walk Pickup Putdown Place * * * * * * * * Figure 3.16 : A Difference Table A Start B Push C D Goal Figure 3.17 : The ...
Elaine Rich. Move object Move robot Clear object Get object on object Get arm empty Be holding object Push Carry Walk Pickup Putdown Place * * * * * * * * Figure 3.16 : A Difference Table A Start B Push C D Goal Figure 3.17 : The ...
Página 399
... object were recorded as part of the lexical entry for at . Such simple properties of word senses are called semantic markers . Other useful semantic markers are • PHYSICAL - OBJECT • ANIMATE - OBJECT • ABSTRACT - OBJECT Using these ...
... object were recorded as part of the lexical entry for at . Such simple properties of word senses are called semantic markers . Other useful semantic markers are • PHYSICAL - OBJECT • ANIMATE - OBJECT • ABSTRACT - OBJECT Using these ...
Página 539
... object as being surrounded by a very thin free space . This space is broken up into a set of thin outer spaces corresponding to the various faces of the object . Objects that touch share these outer spaces . SURROUND ( 0 ) = thin space ...
... object as being surrounded by a very thin free space . This space is broken up into a set of thin outer spaces corresponding to the various faces of the object . Objects that touch share these outer spaces . SURROUND ( 0 ) = thin space ...
Contenido
Weak SlotandFiller Structures | 9 |
6 | 24 |
Heuristic Search Techniques | 63 |
Derechos de autor | |
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Términos y frases comunes
Abbott algorithm answer apply approach Artificial Intelligence assertions attributes axioms backpropagation backtracking backward backward reasoning belief best-first search breadth-first search Cabot Caesar Chapter clauses concept consider constraints contains contexts contradiction corresponding define depth-first depth-first search described discussed domain example explicitly fact given goal graph heuristic heuristic function Horn clauses important inference inheritance input instance interpretation justification knowledge base knowledge representation labeled learning logical assertions Marcus match move MYCIN node nonmonotonic reasoning object operators particular path perceptron possible preconditions predicate logic problem problem-solving procedure produce production system PROLOG propagation propositional logic question represent resolution result robot rules Section semantic semantic net sentence shown in Figure simple slot solution solve space specific statements step strategy structure Suppose suspect syntactic task techniques theorem things tree true truth maintenance system variables wff's