Abstract
Our concern is the explanation generation in a representation based on contextual categorization. We point out that the explicit consideration of the context is necessary for the generation of relevant explanations. We present how the model captures the context necessary for explanation and we report some results compatible with the hypothesis that explanation is based on categorical networks according to a model based on the Galois lattice.
Cite
CITATION STYLE
Ganet, L., Brézillon, P., & Tijus, C. (2003). Explanation as contextual categorization. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 2680, pp. 142–153). Springer Verlag. https://doi.org/10.1007/3-540-44958-2_12
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
