An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality

Nardine Osman (1) , Marc d'Inverno (2) , Carles Sierra (1) , Leila Amgoud (3, 4) , Henri Prade (3, 4) , Matthew Yee-King (2) , Roberto Confalonieri (2) , Dave de Jonge (1) , Katina Hazelden (2)

1 IIIA / CSIC - Artificial Intelligence Research Institute / Spanish Scientific Research Council
2 Goldsmiths College - Goldsmiths, University of London
3 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
4 CNRS - Centre National de la Recherche Scientifique

This paper proposes the notion of experience to help situate agents in their environment, providing a link on how the continually evolving environment impacts the evolution of an agent's BDI model and vice versa. 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 social behaviour than traditional BDI logics that focus on individual agents. Whilst many philosophers have argued that collective intentionality cannot always be equated to the collection of the individual agents' intentions, there has been no AI model that addresses this issue. We believe this is the first attempt to develop an explicit notion of shared experience from an AI perspective.

Mots clés: AI; BDI models

Domaines: Intelligence artificielle [cs.AI]; Apprentissage [cs.LG]; Logique en informatique [cs.LO]; Informatique et langage [cs.CL]

Nardine Osman, Marc d'Inverno, Carles Sierra, Leila Amgoud, Henri Prade, et al.. An Experience-Based BDI Logic: Motivating Shared Experiences and Intentionality. 39th Annual Conference of the IEEE Industrial Electronics Society (IECON 2013), Nov 2013, Vienna, Austria. pp.6654-6659, ⟨10.1109/IECON.2013.6700233⟩. ⟨hal-01148314⟩