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A Dynamically Adjustable Autonomic Agent Framework

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Advances in Information Systems and Technologies

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 206))

Abstract

The design and development of autonomous software agents is still a challenging task and needs further investigation. Giving an agent the maximum autonomous capabilities may not necessarily produce satisfactory agent behavior. Consequently, adjustable autonomy has become the hallmark of autonomous systems development that influences an agent to exhibit satisfactory behavior. To perform such influences, however, a dynamic adjustment mechanism is needed to be configured. The influences are costly in time and implementation especially for systems with time-critical domain. They might negatively influence agent decisions and cause system disturbance. In this paper, we propose a framework to govern an agent autonomy adjustment and minimize system disturbance. The main components of the proposed framework are the Planner, Scheduler and Controller (PSC) that conform to the current trends in automated systems. Two modules are also suggested which are Autonomy Analysis Module (AAM) and Situation Awareness Module (SAM). They are accordingly used to distribute the autonomy and provide balance to the system so that it’s local and global desires do not conflict.

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Author information

Authors and Affiliations

  1. College of Graduate Studies, Universiti Tenaga Nasional, Putrajaya Campus, 43000, Selangor Darul Ehsan, Malaysia

    Salama A. Mostafa & Saraswathy Shamini Gunasekaran

  2. College of Information Technology, Universiti Tenaga Nasional, Putrajaya Campus, 43000, Selangor Darul Ehsan, Malaysia

    Mohd Sharifuddin Ahmad & Azhana Ahmad

  3. Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan, Malaysia, 43000

    Muthukkaruppan Annamalai

Authors
  1. Salama A. Mostafa
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  2. Mohd Sharifuddin Ahmad
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  3. Muthukkaruppan Annamalai
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  4. Azhana Ahmad
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  5. Saraswathy Shamini Gunasekaran
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Corresponding author

Correspondence to Salama A. Mostafa .

Editor information

Editors and Affiliations

  1. , Faculty of Science and Technology, University Fernando Pessoa, Praça 9 de Abril 349, Porto, 4249-004, Portugal

    Álvaro Rocha

  2. , Instituto Superior de Estatística e, Universidade Nova de Lisboa, Campus de Campolide, Lisboa, 1070-312, Portugal

    Ana Maria Correia

  3. Broomfield Road 9, Sheffield, S10 2SE, United Kingdom

    Tom Wilson

  4. Empirica GmbH, Oxfordstr. 2, Bonn, 53111, Germany

    Karl A. Stroetmann

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Mostafa, S.A., Ahmad, M.S., Annamalai, M., Ahmad, A., Gunasekaran, S.S. (2013). A Dynamically Adjustable Autonomic Agent Framework. In: Rocha, Á., Correia, A., Wilson, T., Stroetmann, K. (eds) Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 206. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36981-0_58

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  • DOI: https://doi.org/10.1007/978-3-642-36981-0_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36980-3

  • Online ISBN: 978-3-642-36981-0

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