The objective of this work is to develop computational cognitive models embedded in a humanoid robot. We focus on Dark Triad constructs and the so-called “Nice and Nasty” Theory of Mind that have never been investigated through a robotic approach. To this end, DT and ToM conceptual models in psychology have been taken as a reference for developing a framework based on the popular PDDL planning language. Next, a cognitive architecture has been implemented on a humanoid robot, with the final objective of making adverse personalities emerge. The motivations of the present work are both theoretical and practical. On the one side, we aim to provide researchers with new insights into DT constructs through simulated and robotic setups. On the other side, we aim to provide a tool to train psychologists to deal with social and antisocial behaviour in a controlled setup. The article includes all the details about the model and the experiments performed.

Nice and Nasty Theory of Mind for Social and Antisocial Robots

Enrico Giunchiglia;Carmine Recchiuto;Antonio Sgorbissa
2023-01-01

Abstract

The objective of this work is to develop computational cognitive models embedded in a humanoid robot. We focus on Dark Triad constructs and the so-called “Nice and Nasty” Theory of Mind that have never been investigated through a robotic approach. To this end, DT and ToM conceptual models in psychology have been taken as a reference for developing a framework based on the popular PDDL planning language. Next, a cognitive architecture has been implemented on a humanoid robot, with the final objective of making adverse personalities emerge. The motivations of the present work are both theoretical and practical. On the one side, we aim to provide researchers with new insights into DT constructs through simulated and robotic setups. On the other side, we aim to provide a tool to train psychologists to deal with social and antisocial behaviour in a controlled setup. The article includes all the details about the model and the experiments performed.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1143435
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