| M. Dastani, R. Scha, and B. Indurkhya. An algebraic method for solving proportional analogy problems involving sequential patterns. In Mind II: Computational Models of Creative Cognition, pages 1--15, 1997. |
.... and contextual interpretation underlying certain analogies (Indurkhya 1991) More recently, we have incorporated SIT s notion of information load into our formalization, thereby producing what might be considered an algebraic version of SIT, and modeled perceptual proportional analogies in it (Dastani, Indurkhya and Scha 1997). We consider this algebraic version to be more powerful than SIT in that it allows any class of operators to be used for structural decomposition; in particular, domain dependent regularities are easily represented in it, and can influence the gestalts. We have 1 In fact, the coding system is ....
....an alternative coding system for two dimensional visual patterns. applied this approach to model context effect meaning how in different contexts different structures of the same object are seen to have a different information load, and are consequently selected as gestalts (Indurkhya and Dastani 1997) and are in the process of extending it to develop a representation system for visual patterns, and to formalize the process of visualization of information (Dastani 1997) In this paper, we apply our algebraic framework to the problems of similarity and categorization. In particular, we are ....
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Dastani, M. & Indurkhya, B. & Scha, R. (1997) An Algebraic Method for Solving Proportional Analogy Problems.
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M. Dastani, R. Scha, and B. Indurkhya. An algebraic method for solving proportional analogy problems involving sequential patterns. In Mind II: Computational Models of Creative Cognition, pages 1--15, 1997.
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