Machines with human-like commonsense

18th Japanese Society for Artificial Intelligence General-Purpose Artificial Intelligence Meeting Group (SIG-AGI) (2021)
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Abstract

I will review the main problems concerning commonsense reasoning in machines and I will present resent two different applications - namaly: the Dual PECCS linguistic categorization system and the TCL reasoning framework that have been developed to address, respectively, the problem of typicality effects and the one of commonsense compositionality, in a way that is integrated or compliant with different cognitive architectures thus extending their knowledge processing capabilities In doing so I will show how such aspects are better dealt with at different levels of representation and will discuss how the adoption of a cognitively inspired approach be useful in the design and implementation of the next generation AI systems mastering commonsense.

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Antonio Lieto
University of Turin

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