A Multi-context Framework for Modeling an Agent-based Recommender System
Amel Ben Othmane, Andrea G. B. Tettamanzi, Serena Villata, Nhan Le Thanh, Michel Buffa · 2016
In this paper, we propose a multi-agent recommender system based on the Belief-Desire-Intention (BDI) model applied to multi-context systems. First, we extend the BDI model with additional contexts to deal with sociality and information uncertainty. Second, we propose an ontological representation of planning and intention contexts in order to reason about plans and intentions. Moreover, we show a simple real-world scenario in healthcare in order to illustrate the overall reasoning process of our model.