Abstract
This short paper is an abridged version of [1], where we introduce a framework for the dynamic generation of novel knowledge obtained by exploiting a recently introduced extension of a Description Logic of typicality able to combine prototypical descriptions of concepts. Given a goal expressed as a set of properties, in case an intelligent agent cannot find a concept in its initial knowledge base able to fulfill all these properties, our system exploits the reasoning services of the Description Logic \(\mathbf{T}^{\textsf {\tiny CL}}\) in order to find two concepts whose creative combination satisfies the goal.
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References
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Lieto, A., Perrone, F., Pozzato, G.L., Chiodino, E. (2020). A Typicality-Based Knowledge Generation Framework. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_38
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DOI: https://doi.org/10.1007/978-3-030-25719-4_38
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