Machine Intelligence and Robotics: Report of the NASA Study Group : Final Report |
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Page 425
... learning heuristic " one must generalize on past experience , and one way to do this is to use success - reinforced decision models . These learning systems are shown to be averaging devices . Using devices which learn also which events ...
... learning heuristic " one must generalize on past experience , and one way to do this is to use success - reinforced decision models . These learning systems are shown to be averaging devices . Using devices which learn also which events ...
Page 426
... learning " to justify defining the term precisely . But we may be sure that any useful learning system will have to use records of the past as evidence for more general propositions ; it must thus entail some commit- ment or other about ...
... learning " to justify defining the term precisely . But we may be sure that any useful learning system will have to use records of the past as evidence for more general propositions ; it must thus entail some commit- ment or other about ...
Page 427
... learning , and the possibility of quick adaptation to a chang- ing environment . A near - unity value of gives slow learning , but also smooths away uncertainties due to noise . As noted in Sec . IIG1 , the re- sponse distribution comes ...
... learning , and the possibility of quick adaptation to a chang- ing environment . A near - unity value of gives slow learning , but also smooths away uncertainties due to noise . As noted in Sec . IIG1 , the re- sponse distribution comes ...
Page 428
... learning . For , once a generalization about the past has been made , one is likely to build upon it . Thus , one may come to select certain properties as important and begin to use them in the characteriza- tion of experience , perhaps ...
... learning . For , once a generalization about the past has been made , one is likely to build upon it . Thus , one may come to select certain properties as important and begin to use them in the characteriza- tion of experience , perhaps ...
Page 429
... learning device ; it is more like a " Pavlovian " conditioning device , treating the Z signals as " unconditioned " stimuli and the S signals as conditioned stimuli . ) The heuristic idea is that any signal from the environment which in ...
... learning device ; it is more like a " Pavlovian " conditioning device , treating the Z signals as " unconditioned " stimuli and the S signals as conditioned stimuli . ) The heuristic idea is that any signal from the environment which in ...
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Common terms and phrases
algorithms Allen Newell analysis applications areas Artificial Intelligence automated basic behavior capabilities centers chess complex computer science computer systems concept 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 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 space missions spacecraft specific Stanford Research Institute Stanford Univ structure Study Group subproblems symbolic task Tech techniques TEIRESIAS teleoperator theory tion