Tuesday, February 20, 2007
Project MetaCat
http://www.cs.pomona.edu/~marshall/metacat/dissertation.pdf
Metacat: A Self-Watching Cognitive Architecture for Analogy-Making and High-Level Perception
Traditionally, researchers working on the computational modeling of analogy have
tended to view analogy-making as a special type of thinking useful for solving prob-
lems via the technique of analogical reasoning. According to this view, a good way to
solve a given problem is often by recourse to a similar problem that one has encoun-
tered and solved previously. By setting up an analogy between the previous problem
and the current problem, and using the previous solution as a guide, one can often
discover a solution to the problem at hand. This type of reasoning is often used by students when trying to work through scientifc or mathematical problems in textbooks. Typically, a worked-out example in the text, similar to the problem to be solved, is frst identifed (the more similar, the better). The worked-out example solution is then applied to the corresponding elements of the new problem (hopefully without too much modifcation required), yielding a solution.
What made me post above para is I found a smilarity in my thought process and above para (though not exact) as I always say that "When we solve some problem, handle some project / work..etc. in our life and face a failure, there is nothing to get disappointed and depressed on it as I believe that depression leads to lac of self confidence in oneself and topples the whole identity of a person. Instead, what we need to do is analyze our past work and identify a smallest success in what we have done. Though we have reached a failure, we might have done some part of it successfully, though its small, it keeps your morale high, next identify those what lead to its failure...keep them as experience and when you do next project, try not to do those what you have done and failed already...apply different methods and ways to achieve it."
Metacat: A Self-Watching Cognitive Architecture for Analogy-Making and High-Level Perception
Traditionally, researchers working on the computational modeling of analogy have
tended to view analogy-making as a special type of thinking useful for solving prob-
lems via the technique of analogical reasoning. According to this view, a good way to
solve a given problem is often by recourse to a similar problem that one has encoun-
tered and solved previously. By setting up an analogy between the previous problem
and the current problem, and using the previous solution as a guide, one can often
discover a solution to the problem at hand. This type of reasoning is often used by students when trying to work through scientifc or mathematical problems in textbooks. Typically, a worked-out example in the text, similar to the problem to be solved, is frst identifed (the more similar, the better). The worked-out example solution is then applied to the corresponding elements of the new problem (hopefully without too much modifcation required), yielding a solution.
What made me post above para is I found a smilarity in my thought process and above para (though not exact) as I always say that "When we solve some problem, handle some project / work..etc. in our life and face a failure, there is nothing to get disappointed and depressed on it as I believe that depression leads to lac of self confidence in oneself and topples the whole identity of a person. Instead, what we need to do is analyze our past work and identify a smallest success in what we have done. Though we have reached a failure, we might have done some part of it successfully, though its small, it keeps your morale high, next identify those what lead to its failure...keep them as experience and when you do next project, try not to do those what you have done and failed already...apply different methods and ways to achieve it."
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