Artificial IntelligenceMcGraw-Hill, 1991 - 621 páginas |
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Página 560
... Robot and where objects and obstacles stand in relation to it . Robot effectors are also limited in precision . • Many robots must react in real time . A robot fighter plane , for example , cannot afford to search optimally or to stop ...
... Robot and where objects and obstacles stand in relation to it . Robot effectors are also limited in precision . • Many robots must react in real time . A robot fighter plane , for example , cannot afford to search optimally or to stop ...
Página 571
... robot , then increase the size of the obstacles so that they cover all points that P cannot enter , because of the physical size and shape of the robot . Now , simply construct and search a visibility graph based on P and the vertices ...
... robot , then increase the size of the obstacles so that they cover all points that P cannot enter , because of the physical size and shape of the robot . Now , simply construct and search a visibility graph based on P and the vertices ...
Página 575
... robot is to wander the halls , picking up soda cans and depositing them in a bin . When the robot locates a can , several modules steer the robot toward it . Modules governing the robot arm continuously monitor the physical wheels of the ...
... robot is to wander the halls , picking up soda cans and depositing them in a bin . When the robot locates a can , several modules steer the robot toward it . Modules governing the robot arm continuously monitor the physical wheels of the ...
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