An experience-based BDI logic: Motivating shared experiences and intentionality

Abstract

This paper introduces the notion of experiences, which help situate agents in their environment, providing a concrete link on how the continually evolving environment impacts the evolution of an agent's BDI model. Then, using the notion of shared experience as a primitive construct, we develop a novel formal model of shared intention which we believe more adequately describes and motivates social behaviour than traditional BDI logics that focus on modelling individual agents. Whilst many philosophers have strongly argued that collective intentionality cannot always be equated to the collection of the individual agents, there has been no AI model that has proposed how this could occur. To the best of our knowledge this is the first attempt to develop the notion of shared experience from an AI perspective that cannot be reduced to descriptions of a single agent.