Machine Intelligence and Robotics: Report of the NASA Study Group : Final Report |
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Page 339
... hypotheses about various levels of description and then testing these hypotheses seems to offer an approach to this problem . Systems have been constructed that process suitable representations of a scene to develop hypotheses about the ...
... hypotheses about various levels of description and then testing these hypotheses seems to offer an approach to this problem . Systems have been constructed that process suitable representations of a scene to develop hypotheses about the ...
Page 342
... hypotheses but it also demands intuitive skills such as guessing about which lemmas should be proved first in order to help prove the main theorem . A skilled mathematician uses what he might call judgment ( based on a large amount of ...
... hypotheses but it also demands intuitive skills such as guessing about which lemmas should be proved first in order to help prove the main theorem . A skilled mathematician uses what he might call judgment ( based on a large amount of ...
Page 424
... , passive classification systems will become less adequate , and we may have to turn toward schemes which are based more on internally generated hypotheses , perhaps " error - controlled " along B - 19 424 APPROACHES AND ATTITUDES.
... , passive classification systems will become less adequate , and we may have to turn toward schemes which are based more on internally generated hypotheses , perhaps " error - controlled " along B - 19 424 APPROACHES AND ATTITUDES.
Page 425
... hypotheses , perhaps " error - controlled " along the lines proposed by MacKay ( 1956 ) . Space requires us to terminate this discussion of pattern - recognition and description . Among the important works not reviewed here should be ...
... hypotheses , perhaps " error - controlled " along the lines proposed by MacKay ( 1956 ) . Space requires us to terminate this discussion of pattern - recognition and description . Among the important works not reviewed here should be ...
Page 263
... Hypotheses : on Generality and on Ill - Structured Problems 373 3. The Methods of Heuristic Programming 375 3.1 . Generate - and - Test , 377 3.2 . Match , 380 3.3 . Hill Climbing , 382 3.4 . Heuristic Search , 386 3.5 . Induction , 390 ...
... Hypotheses : on Generality and on Ill - Structured Problems 373 3. The Methods of Heuristic Programming 375 3.1 . Generate - and - Test , 377 3.2 . Match , 380 3.3 . Hill Climbing , 382 3.4 . Heuristic Search , 386 3.5 . Induction , 390 ...
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algorithms Allen Newell analysis applications areas Artificial Intelligence automated base basic behavior capabilities centers complex computer programs computer science computer systems concepts Conf construction cost DENDRAL devices discussion domain elements engineering environment example existing experience exploration Feigenbaum Figure functions GAME goal hardware heuristic programming heuristic search human hypotheses ill-structured problems inference information processing input intelligence and robotics interaction knowledge learning logic machine intelligence man-machine systems manipulators Marvin Minsky mathematical mechanisms memory ment methods Minsky mission operations MYCIN NASA NASA's Natural Language Newell Papers 3d Intl pattern recognition performance planetary planning problem solving problem space problem statement Proc procedure processor Project Project MAC PSYC psychology representation rover rules sensors sequence Simon simplex method solution solver spacecraft Stanford Research Institute Stanford Univ structure Study Group subproblems symbolic task Tech techniques TEIRESIAS teleoperator theory tion