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Multi-agent System for Forecasting Based on Modified Algorithms of Swarm Intelligence and Immune Network Modeling

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Agents and Multi-Agent Systems: Technologies and Applications 2018 (KES-AMSTA-18 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 96))

Abstract

The use of modern achievements of artificial intelligence in the creation of innovative information forecasting technologies is an urgent task. The article is devoted to the development of multi-agent system for forecasting based on modified algorithms of swarm intelligence and artificial immune systems approach. The construction of an optimal immune network model is one of the most important tasks at solving the problem of image recognition and prediction based on artificial immune systems. The problem of preliminary processing and selection of informative descriptors is solved on the basis of swarm intelligence algorithms. Selection of informative descriptors is carried out based on a multi-algorithmic approach, which allows to choose the algorithm of swarm intelligence, in which the generalization error will be minimal after immune network modeling. An algorithm of functioning of the multi-agent system for forecasting has been developed and a description of the main agents has been given. The modeling results have been presented and a comparative analysis for various algorithms of swarm intelligence has been performed.

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Author information

Authors and Affiliations

  1. Institute of Information and Computational Technologies, Almaty, Kazakhstan

    Galina A. Samigulina & Zhazira A. Massimkanova

Authors
  1. Galina A. Samigulina
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  2. Zhazira A. Massimkanova
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Corresponding author

Correspondence to Galina A. Samigulina .

Editor information

Editors and Affiliations

  1. University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, Croatia

    Gordan Jezic

  2. The Heriot-Watt University, Edinburgh, United Kingdom

    Yun-Heh Jessica Chen-Burger

  3. Bournemouth University, Poole, United Kingdom

    Robert J. Howlett

  4. Centre for Artificial Intelligence, Faculty of Engineering and Information Technology, University of Technology Sydney, Sydney, New South Wales, Australia

    Lakhmi C. Jain

  5. Griffith Sciences - Centres and Institutes, Griffith University, South Brisbane, Queensland, Australia

    Ljubo Vlacic

  6. Department of Business Economics and Management and Silesian University in Opava, School of Business Administration in Karvina, Karvina, Czech Republic

    Roman Šperka

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Samigulina, G.A., Massimkanova, Z.A. (2019). Multi-agent System for Forecasting Based on Modified Algorithms of Swarm Intelligence and Immune Network Modeling. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_19

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