Deliberative Argumentation for Smart Environments
In this paper, an argumentation-based deliberative approach for fusing contextual information obtained from heterogeneous sources using a multi-agent system is introduced. The system is characterized by three different agents: an Environment Agent, an Activity Agent and a Coach Agent. These agents consider data from heterogenous sources of data. As a method for aggregating data and supporting decision-making, so-called agreement rules are instrumental in the argumentation-based deliberative method. The aggregation rules will be associated to specific beliefs related to the services of each agent.
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- 1.Amgoud, L., Prade, H.: Reaching agreement through argumentation: A possibilistic approach. In: Principles of Knowledge Representation and Reasoning: Proceedings of the Ninth International Conference (KR 2004), Whistler, Canada, June 2-5, pp. 175–182. AAAI Press (2004)Google Scholar
- 6.Guerrero, E., Nieves, J.C., Lindgren, H.: Arguing through the Well-founded Semantics: an Argumentation Engine. Submitted to a Journal (2014)Google Scholar
- 7.Kaptelinin, V.: Activity theory: Implications for human-computer interaction. In: Nardi, B. (ed.) Context and Consciousness. Activity Theory and Human Computer Interaction, pp. 103–116. MIT Press (1996)Google Scholar
- 9.Lindgren, H., Surie, D., Nilsson, I.: Agent-supported assessment for adaptive and personalized ambient assisted living. In: Corchado, J.M., Pérez, J.B., Hallenborg, K., Golinska, P., Corchuelo, R. (eds.) Trends in Practical Applications of Agents and Multiagent Systems. AISC, vol. 90, pp. 25–32. Springer, Heidelberg (2011)CrossRefGoogle Scholar
- 11.Sá, S., Alcântara, J.: Cooperative dialogues with conditional arguments. In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems, vol. 1, pp. 501–508. International Foundation for Autonomous Agents and Multiagent Systems (2012)Google Scholar