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Asian Conference on Intelligent Information and Database Systems

ACIIDS 2016: Intelligent Information and Database Systems pp 364–373Cite as

Knowledge in Asynchronous Social Group Communication

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9621))

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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Acknowledgment

This research was co-financed by Polish Ministry of Science and Higher Education grant.

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Authors and Affiliations

  1. Faculty of Computer Science and Management, Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Marcin Maleszka

Authors
  1. Marcin Maleszka
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Correspondence to Marcin Maleszka .

Editor information

Editors and Affiliations

  1. Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. Wrocław University of Technology, Wrocław, Poland

    Bogdan Trawiński

  3. Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  4. National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

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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

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-49380-9

  • Online ISBN: 978-3-662-49381-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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