Combining Theory of Mind and Abductive Reasoning in Agent-Oriented Programming

Nieves Montes (Artificial Intelligence Research Institute (IIIA-CSIC), Michael Luck (University of Sussex), Nardine Osman (Artificial Intelligence Research Institute (IIIA-CSIC), Odinaldo Rodrigues (King's College London), Carles Sierra (Artificial Intelligence Research Institute (IIIA-CSIC)

Abstract

In this paper we present TomAbd, a novel agent model extending the BDI architecture with Theory of Mind capabilities, i.e. the capacity to adopt and reason from the perspective of others. By combining the Theory of Mind of TomAbd agents with abductive reasoning, agents can infer explanations for the behaviour of others, which they can incorporate into their own decision-making. We have implemented the TomAbd agent model and successfully tested its performance in the cooperative board game Hanabi.