Model-based diagnosis applied to computer programs has been studied for several years. Although there are still weaknesses in the used models, especially on dealing with dynamic da...
Knowledge-based programs (KBPs) are a powerful notion for expressing action policies in which branching conditions refer to implicit knowledge and call for a deliberation task at e...
Abstract. Information usually has many sources and is often incomplete and / or uncertain, this leads to many inconsistencies. Revision is the operation which consists in identifyi...
This paper describes the Mediating Agent, an animated pedagogical agent inserted in a computational system for distance learning, which has the goal of motivating the student to le...
We present algorithms for the generation of uniformly distributed Bayesian networks with constraints on induced width. The algorithms use ergodic Markov chains to generate samples....
Abstract. This paper presents a framework that integrates three aspects of agency: planning, for proactive behaviour, negotiation, for social behaviour and resource achievement, an...
Antonis C. Kakas, Paolo Torroni, Neophytos Demetri...
This paper presents a new model of agency, called the KGP (Knowledge, Goals and Plan) model. This draws from the classic BDI model and proposes a hierarchical agent architecture wi...
Antonis C. Kakas, Paolo Mancarella, Fariba Sadri, ...
Trust and reputation are central to effective interactions in open multi-agent systems in which agents, that are owned by a variety of stakeholders, can enter and leave the system ...
Trung Dong Huynh, Nicholas R. Jennings, Nigel R. S...