A Multi-context Framework for Modeling an Agent-based Recommender System

A Multi-context BDI Recommender System: From Theory to Simulation

“…In this paper, we have presented an agent-based simulation of the framework we proposed in [6]. The purpose of the simulation was to evaluate agent behaviors adopting two different strategies (the social and the individual strategy) in order to infer the quality of recommendations.…”

“…The behavior of these contexts is handled by means of internal deduction rules ∆ i and axioms L i which contain axioms from classical propositional logic, and from necessity and possibility measures of possibility theory. The detailed formalization of each context can be found in [6].…”

“…It can be read as follows: if an agent a i has as goal φ with a satisfaction degree δ φ in a GC then it positively desires φ with the same degree δ φ in a DC. For more details about the proposed model, we refer the reader to [6].…”

“…In this paper, we propose a multi-agent simulation to evaluate the overall behavior of the multi-context BDI recommender system we presented in [6], where different strategies are applied. The proposed framework aims at recommending a plan for a user taking into account different contexts.…”