Machine Intelligence and Robotics: Report of the NASA Study Group : Final Report |
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Page 407
And with Learning , efficiency is furthe improved by directing Search in accord with earlier experiences . By ac tually analyzing the situation , using what we call Planning methods , the machine may obtain a really fundamental ...
And with Learning , efficiency is furthe improved by directing Search in accord with earlier experiences . By ac tually analyzing the situation , using what we call Planning methods , the machine may obtain a really fundamental ...
Page 411
It is often supposed that this false - peak problem is the chief obstacle to machine learning by this method . This certainly can be troublesome . But for really difficult problems , it seems to us that usually the more fundamental ...
It is often supposed that this false - peak problem is the chief obstacle to machine learning by this method . This certainly can be troublesome . But for really difficult problems , it seems to us that usually the more fundamental ...
Page 413
III we will consider “ 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 ...
III we will consider “ 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 ...
Page 418
... point of learning . 6 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 ) .
... point of learning . 6 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 ) .
Page 421
Choosing O close to unity means slow , but reliable , learning . 0 is really a sort of memory decay constant , and its choice must be determined by the noise and stability of the environment — much noise requires long averaging times ...
Choosing O close to unity means slow , but reliable , learning . 0 is really a sort of memory decay constant , and its choice must be determined by the noise and stability of the environment — much noise requires long averaging times ...
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