Machine Intelligence and Robotics: Report of the NASA Study Group : Final Report |
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Page 407
... Learning , Planning , and Induction ; these comprise the main divisions of the report . Let us summarize , the entire argument very briefly : A computer can do , in a sense , only what it is told to do . But even when we do not know ...
... Learning , Planning , and Induction ; these comprise the main divisions of the report . Let us summarize , the entire argument very briefly : A computer can do , in a sense , only what it is told to do . But even when we do not know ...
Page 411
... learning by this method . This certainly can be troublesome . But for really difficult problems , it seems to us that usually the more funda- mental problem lies in finding any significant peak at all . Unfortunately the known E ...
... learning by this method . This certainly can be troublesome . But for really difficult problems , it seems to us that usually the more funda- mental problem lies in finding any significant peak at all . Unfortunately the known E ...
Page 413
... learning " systems . The behavior of those systems can be made to change in reasonable ways depending on what happened to them in the past . But by themselves , the simple learning systems are useful only in recurrent situations ; they ...
... learning " systems . The behavior of those systems can be made to change in reasonable ways depending on what happened to them in the past . But by themselves , the simple learning systems are useful only in recurrent situations ; they ...
Page 418
... learning . It would indeed be remarkable if this failed to yield properties more useful than would be obtained from completely random sequence selection . The generating problem is discussed further in Minsky ( 1956a ) . Newell , Shaw ...
... learning . It would indeed be remarkable if this failed to yield properties more useful than would be obtained from completely random sequence selection . The generating problem is discussed further in Minsky ( 1956a ) . Newell , Shaw ...
Page 421
... learning but is associated with a large variance , hence , with low reliability . Choosing close to unity means slow , but reliable , learning . is really a sort of memory decay constant , and its choice must be determined by the noise ...
... learning but is associated with a large variance , hence , with low reliability . Choosing close to unity means slow , but reliable , learning . is really a sort of memory decay constant , and its choice must be determined by the noise ...
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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