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Soft Computing: State of the Art Theory and Novel Applications pp 129–143Cite as

Learning Techniques in Presence of Uncertainty

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 291))

Abstract

In the last few years we have witnessed increased popularity of agent systems. This popularity is the result of agents’ ability to work effectively and perform complex tasks in a wide range of applications. In this paper, we highlight the importance of learning mechanisms that are essential for behavioural adaptation of agents in complex environments. We provide a high-level introduction and overview of different types of learning approaches proposed in recent years. We also argue the necessity of dynamic learning processes for handling uncertainty, and propose an uncertainty-oriented architecture of agents together with a specialized knowledge base.

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Author information

Authors and Affiliations

  1. Dept. of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Parisa D. Hossein Zadeh & Marek Z. Reformat

Authors
  1. Parisa D. Hossein Zadeh
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  2. Marek Z. Reformat
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Corresponding author

Correspondence to Parisa D. Hossein Zadeh .

Editor information

Editors and Affiliations

  1. , Iona College, Machine Intelligence Institute, New Rochelle, 10801, New York, USA

    Ronald R. Yager

  2. Information Technologies of the, Republic of Azerbaijan, Ministry of Communications and, Zarifa Aliyeva str. 33, Baku, AZ1000, Azerbaijan

    Ali M. Abbasov

  3. , Department of Electrical, University of Alberta, ECERF Building W5-023, Edmonton, T6G 2V4, Alberta, Canada

    Marek Z. Reformat

  4. , Department of Information Technology, Azerbaijan Technical University, 25 H.Cavid Ave., Baku, AZ1073, Azerbaijan

    Shahnaz N. Shahbazova

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Zadeh, P.D.H., Reformat, M.Z. (2013). Learning Techniques in Presence of Uncertainty. In: Yager, R., Abbasov, A., Reformat, M., Shahbazova, S. (eds) Soft Computing: State of the Art Theory and Novel Applications. Studies in Fuzziness and Soft Computing, vol 291. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34922-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-34922-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34921-8

  • Online ISBN: 978-3-642-34922-5

  • eBook Packages: EngineeringEngineering (R0)

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