In this paper we present a formal approach to modelling context effect in perceptual domains: namely how the perception of an object is effected by other objects. Our approach is operational and perceptually motivated in the sense that we focus on how objects are perceived as being constructed from certain components. Based on a psychological theory of perception, called Structural Information Theory, we develop an algebraic model for context sensitive perception. We illustrate our model by using the domain of alphabetic strings and discuss its extension to the domain of visual objects. Finally, we remark on how this approach can be applied to model context effect in non-perceptual situation, and then make some observations on the general problem of context.
CITATION STYLE
Dastani, M., & Indurkhya, B. (2001). Modeling context effect in perceptual domains. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2116, pp. 129–142). Springer Verlag. https://doi.org/10.1007/3-540-44607-9_10
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