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Machine Learning and Multiagent Systems as Interrelated Technologies

  • Chapter
Agent-Based Optimization

Part of the book series: Studies in Computational Intelligence ((SCI,volume 456))

Abstract

The chapter reviews current research results integrating machine learning and agent technologies. Although complementary solutions from both fields are discussed the focus is on using agent technology in the field of machine learning with a particular interest on applying agent-based solutions to supervised learning. The chapter contains a short review of applications, in which machine learning methods have been used to support agent learning capabilities. This is followed by a corresponding review of machine learning methods and tools in which agent technology plays an important role. Final part gives a more detailed description of some example machine learning models and solutions where the paradigm of the asynchronous team of agents has been implemented to support the machine learning methods, and which have been developed by the authors and their research group. It is argued that agent technology is particularly useful in case of dealing with the distributed machine learning problems. As an example of such applications a more detailed description of the agent-based framework for the consensus-based distributed data reduction is given in the final part of the chapter.

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  1. Department of Information Systems, Gdynia Maritime University, Morska 83, 81-225, Gdynia, Poland

    Ireneusz Czarnowski & Piotr Jędrzejowicz

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  1. Ireneusz Czarnowski
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  1. Gdynia Maritime University, Str. Morska 81-87, Gdynia, 81-225, Poland

    Ireneusz Czarnowski

  2. Gdynia Maritime University, Str. Morska 81-87, Gdynia, 81-225, Poland

    Piotr Jędrzejowicz

  3. , Polish Academy of Science, Systems Research Institute, Str. Newelska 6, Warszawa, 01-447, Poland

    Janusz Kacprzyk

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Czarnowski, I., Jędrzejowicz, P. (2013). Machine Learning and Multiagent Systems as Interrelated Technologies. In: Czarnowski, I., Jędrzejowicz, P., Kacprzyk, J. (eds) Agent-Based Optimization. Studies in Computational Intelligence, vol 456. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34097-0_1

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