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- W2557650727 abstract "In this paper, a simulation of a multi-agent recommender system is presented and developed in the NetLogo platform. The specification of this recommender system is based on the well known Belief-Desire-Intention agent architecture applied to multi-context systems, extended with contexts for additional reasoning abilities, especially social ones. The main goal of this simulation study is, besides illustrating the usefulness and feasibility of our agent-based recommender system in a realistic scenario, to understand how groups of agents behave in a social network compared to individual agents. Results show that agents within a social network have better collective performance than individual ones. The utility and the satisfaction of agents is increased by the exchange of messages when executing intentions." @default.
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- W2557650727 date "2016-10-01" @default.
- W2557650727 modified "2023-10-14" @default.
- W2557650727 title "A Multi-context BDI Recommender System: From Theory to Simulation" @default.
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- W2557650727 doi "https://doi.org/10.1109/wi.2016.0104" @default.
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