Page 19 - Rapid Learning in Robotics
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                       It enlarges the field of problems and relevant disciplines, and in-
                       cludes also material, engineering, control, and communication sci-
                       ences.

                       The time for gathering training data becomes a major issue. This
                       includes also the time for preparing the learning set-up. In princi-
                       ple, the learning solution competes with the conventional solution
                       developed by a human analyzing the system.

                       The faced complexity draws attention also towards the efficient struc-
                       turing of re-usable building blocks in general, and in particular for
                       learning.


                       And finally, it makes also technically inclined people appreciate that
                       the complexity of biological organisms requires a rather long time of
                       adolescence for good reasons;

                     Many learning algorithms exhibit stochastic, iterative adaptation and
                 require a large number of training steps until the learned mapping is reli-
                 able. This property can also be found in the biological brain.
                     There is evidence, that learned associations are gradually enhanced by
                 repetition, and the performance is improved by practice - even when they
                 are learned insightfully. The stimulus-sampling theory explains the slow
                 learning by the complexity and variations of environment (context) stimuli.
                 Since the environment is always changing to a certain extent, many trials
                 are required before a response is associated with a relatively complete set
                 of context stimuli.
                     But there exits also other, rapid forms of associative learning, e.g. “one-
                 shot learning”. This can occur by insight, or triggered by a particularly
                 strong impression, by an exceptional event or circumstances. Another
                 form is “imprinting”, which is characterized by a sensitive period, within
                 which learning takes place. The timing can be even genetically programmed.
                 A remarkable example was discovered by Konrad Lorenz, when he stud-
                 ied the behavior of chicks and mallard ducklings. He found, that they im-
                 print the image and sound of their mother most effectively only from 13
                 to 16 hours after hatching. During this period a duckling possibly accepts
                 another moving object as mother (e.g. man), but not before or afterwards.
                     Analyzing the circumstances when rapid learning can be successful, at
                 least two important prerequisites can be identified:
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