Academic Centre
May 25, 2022
16:00
Zoom
Cognitive Heuristics for Commonsense Reasoning in the next generation of AI systems
Guest lecturer: Antonio Lieto, PhD
Antonio Lieto is a researcher (assistant professor) in Computer Science at the Department of Computer Science of the University of Turin (Italy) and a Research Associate at the ICAR-CNR Institute in Palermo (Cognitive Systems for Robotics Lab). His research interests include computational models of cognition, commonsense reasoning, language and knowledge technologies. He is the current Vice-President of the Italian Association of Cognitive Sciences (AISC, 2017-2022), the recipient of the “Outstanding BICA Research Award” from the Biologically Inspired Cognitive Architecture Society (USA), and is an ACM Distinguished Speaker on the topics of cognitively inspired AI. He has authored the book “Cognitive Design for Artificial Minds” (Routledge/Taylor & Francis, 2021).
About the webinar
Commonsense reasoning is one of the main open problems in the field of Artificial Intelligence (AI) while, on the other hand, seems to be a very intuitive and default reasoning mode in humans and other animals.
In this talk, I will present two cognitively inspired AI applications – Dual PECCS and the TCL reasoning framework – showing how a cognitively-inspired approach to the design and realization of intelligent systems allows to:
- address some crucial aspects of commonsense reasoning in AI research (namely: dealing with typicality effects and with the problem of commonsense compositionality),
- integrate such systems with more general cognitive architectures,
- to their simulations as “computational explanations” to better understand the heuristics used by the human mind to face complex problems.
