Abstract
Multi-agent systems are one of many modern distributed approaches to decision, optimization and other problem solving. Among others, multi-agent systems have been often used for prediction, but those approaches require a supervisor agent for integrating the knowledge of other agents. In this paper we discuss the shortcomings of such approach and propose a switch to decentralized groups of agents with asynchronous communications. We show that this approach may obtain similar results, while avoiding the pitfalls of centralized architecture.
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This research was co-financed by Polish Ministry of Science and Higher Education grant.
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Maleszka, M. (2016). Knowledge in Asynchronous Social Group Communication. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_35
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DOI: https://doi.org/10.1007/978-3-662-49381-6_35
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