Page 209 - Deep Learning
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192                         Adaptation

            Computer simulation of skill acquisition resembles work on heavier-than-air
            flight  before  the  Wright  Brothers:  Would-be  aeronautical  engineers  would
            design an airplane, build it, try to fly it, sweep up the debris and build another
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            one.  When confronted with the huge space of possible airplane designs, this
            mode of operation made for slow progress. The Wright Brothers succeeded
            because they worked separately on the three subproblems of lift, propulsion
            and steering, and combined the solutions. The study of skill acquisition also
            needs a principled way to guide the search through the space of possible rep-
            ertoires of learning mechanisms.


                            The information Specificity principle

            Hypotheses about skill acquisition can be organized in terms of their inputs.
            improvements in a task strategy cannot arise out of nothing; structure has
            to come from somewhere.  if a learning mechanism produces rules that are
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            better adapted to the target task than the learner’s current rules, that mecha-
            nism must have incorporated additional information about the target task
            into those rules. A learning mechanism can therefore be conceptualized as
            a process that takes one or more rules plus some additional information as
            inputs and delivers an improved rule as output. The new rule is better adapted
            to  the  task  environment  precisely  because  it  incorporates  the  additional
            information.
               The question of the  number and nature of the  learning  mechanisms
            can therefore be approached by considering the number and nature of the
            sources of information that are available to a learner in a practice scenario,
            and the types of information they provide. The processes needed to make
            use of one type of information typically differ from the processes needed to
            make use of some other type. For example, learning from a solved example
            requires different processes from learning from an error, and learning from
            an  analogous  task  requires  different  processes  from  learning  from  posi-
            tive feedback. This Information Specificity Principle postulates a mapping
            between types of information and types of learning mechanisms. it attri-
            butes the multiplicity of learning mechanisms to the existence of multiple
            types of information.
               Multiple Mechanisms and Information Specificity are abstract principles
            and they do not by themselves explain any one instance of skill acquisition or
            any regularity therein. They are meta-principles in that they specify the kind
            of explanation psychologists should seek. together they suggest that we can
            make an informed guess about the repertoire of skill acquisition mechanisms
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