Knowledge re-combination and invention as key features for commonsense reasoning and computational creativity research Antonio Lieto University of Turin and ICAR-CNR, Italy Dynamic conceptual reframing represents a crucial mechanism employed by humans, and partially by other animal species, to generate novel knowledge used to solve complex goals. In this talk, I will present a reasoning framework for knowledge invention and creative problem solving exploiting TCL: a non-monotonic extension of a Description Logic (DL) of typicality able to combine prototypical (commonsense) descriptions of concepts in a human-like fashion [1]. The proposed approach has been tested both in the task of goal-driven concept invention [2,3] and has additionally applied within the context of serendipity-based recommendation systems [4]. I will present the obtained results, the lessons learned and the road ahead of this research path. References [1] Antonio Lieto, Gian Luca Pozzato "A Description Logic Framework for Commonsense Conceptual Combination Integrating Typicality, Probabilities and Cognitive Heuristics", in Journal of Experimental & Theoretical Artificial Intelligence (JETAI), 2020. https://doi.org/10.1080/0952813X. 2019.1672799 [2] Antonio Lieto, Federico Perrone, Gian Luca Pozzato and Eleonora Chiodino "Beyond Subgoaling: A Dynamic Knowledge Generation Framework for Creative Problem Solving in Cognitive Architectures", Cognitive Systems Research, 58, 305-316, 2019. [3] Eleonora Chiodino, Antonio Lieto, Federico Perrone, Gian Luca Pozzato "A goal-oriented framework for knowledge invention and creative problem solving in cognitive architectures", in Proceedings of ECAI 2020, 24th European Conference on Artificial Intelligence, 2020. [4] Eleonora Chiodino, Davide Di Luccio, Antonio Lieto, Alberto Messina, Gian Luca Pozzato, Davide Rubinetti "A Knowledge-based System for the Dynamic Generation and Classification of Novel Contents in Multimedia Broadcasting", in Proceedings of ECAI 2020, 24th European Conference on Artificial Intelligence, 2020.