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by Kardi Teknomo
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Depending on what kind of adaptive program you have in mind, we can
have three kind of learning histogram based on right and wrong user’s
answers.
- Positive Learning: Higher value shall only be given to the
histogram if the user answers correctly. The histogram is updated
only when success response happen. This type of learning is useful
for preference or satisfaction level update. Behind the scene, we
can explain the automatic marketing survey in simple term. Each item
(i.e. book) has several attributes (e.g. mathematics and statistics,
computer vision field, Image processing etc.). When the user selects
certain item, the program will update the learning histogram of the
user for that attributes with higher weight. The program is then search
for more items with similar attributes that the user prefers. As the
result, the program may offer more items that the users like most.
- Negative Learning: Higher value shall be given to the histogram
only if the user gives wrong answers. For example in our Hiragana
game, if the user makes many mistakes on certain syllables, those
syllables will be asked more frequently rather than the syllables
that users already know. This is a kind of punishment game without
any reward.
- Reward and Punishment Learning: Higher value will be give
to the histogram when the user response correctly and if the user
give wrong answer, the histogram may get lower value. The weight of
positive and negative update may not be the same. This kind of adaptive
learning may be better response than positive or negative learning
and extremely useful for many applications, from game programming,
science and engineering to marketing and education. A care must be
given so that the probability resulted from the histogram will not
become negative or higher than one. See our
numerical example
of this learning
Next: Numerical
Example
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These tutorial is copyrighted.
Preferable reference for this tutorial is
Teknomo, Kardi. Learning Algorithm Tutorials. http:\\people.revoledu.com\kardi\ tutorial\Learning\
Send your comments, questions and suggestion to author of this tutorial
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