Evaluating Interaction of MAS Providing Context-Aware Services
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Much effort has been spent on suggesting and implementing new architectures of MAS to specific domains. Often each new architecture is not even compared to any existing architectures in order to evaluate their potential benefits. The evaluation of Multi-Agent Systems (MAS) is a complex problem and it does not have a single form. The present work follows the research line of considering the agent interaction as the main evaluation criteria, the most important characteristic of any complex software as autonomous agents according to . So, in this paper, we have suggested an assignment of evaluation values to Agents interaction in an specific MAS architecture for providing context services by means of conversational agents. This evaluation is mainly based on the relevance of the messages content brought by an interaction. For dependant nature of the relevance of the messages, the valuation has to be adhoc, but our paper provides an example of how interesting is this alternative in order to evaluate any MAS architecture theoretically.
Keywordsmulti-agent systems evaluation
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- 1.Davidsson, P., Johansson, S., Svahnberg, M.: Characterization and evaluation of multi-agent system architectural styles. In: Software Engineering for Multi-Agent Systems IV, pp. 179–188 (2006)Google Scholar
- 2.V., Sanchez-Pi, N., Carbo, J., Molina, J.M.: Reputation in user profiling for a contextawaremultiagent system. In: EUMAS (2006) Google Scholar
- 3.Gaspar, G.: Communication and belief changes in a society of agents: Towards a formal model of autonomous agent, d.a.i. 2. In: Demazeau, Y., M.J.P.: (ed.) Descentralized A. I. 2, pp. 245–255. Elsevier Science, Amsterdam (1991)Google Scholar
- 4.Giunchiglia, F., Mylopoulos, J., Perini, A.: The tropos software development methodology: Processes, models and diagrams. In: Proceedings of the First International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 63–74. ACM Press, New York (2002)Google Scholar
- 5.Gruber, T.: The role of common ontology in achieving sharable, reusable knowledge bases. In: 2nd International Conference on Principles of Knowledge Representation and Reasoning, Cambridge, USA, pp. 601–602 (April 1991)Google Scholar
- 6.Joumaa, H., Demazeau, Y., Vincent, J.: Evaluation of multi-agent systems: The case of interaction. In: 3rd International Conference on Information and Communication Technologies: From Theory to Applications, pp. 1–6. IEEE, Los Alamitos (2008)Google Scholar
- 7.Mylopoulos, J., Kolp, M., Giorgini, P.: Agent-oriented software development. Methods and Applications of Artificial Intelligence, pp. 748–748 (2002) Google Scholar
- 8.Sánchez-Pi, N., Fuentes, V., Carbó, J., Molina, J.M.: Knowledge-based system to define context in ommercial applications. In: Proc. of the 8th ACIS Conference SNPD 2007, Tsingtao, China, pp. 694–699 (2007)Google Scholar