Creative Concept Generation by Combining Description Logic of Typicality, Probabilities and Cognitive Heuristics

Abstract

We propose a nonmonotonic Description Logic of typicality as a tool for the generation and the exploration of novel creative concepts, that could be useful in many applicative scenarios, ranging from video games to the creation of new movie characters. In particular, our logic is able to deal with the phenomenon of prototypical concept combination, which has been shown to be problematic to model for other formalisms like fuzzy logic. The proposed logic relies on the logic of typicality ALC+ TR, whose semantics is based on a notion of rational closure, as well as on the distributed semantics of probabilistic Description Logics, and takes into account the insights coming from the heuristics used by humans for concept composition. Besides providing framework able to account for typicality-based concept combination, we also outline that reasoning in the proposed Description Logic is ExpTime-complete as for the underlying ALC.