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Recent Developments in Computational Collective Intelligence pp 25–35Cite as

A Dynamic Measurement of Agent Autonomy in the Layered Adjustable Autonomy Model

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 513))

Abstract

In a dynamically interactive systems that contain a mix of humans’ and software agents’ intelligence, managing autonomy is a challenging task. Giving an agent a complete control over its autonomy is a risky practice while manually setting the agent’s autonomy level is an inefficient approach. In this paper, we propose an autonomy measurement mechanism and its related formulae for the Layered Adjustable Autonomy (LAA) model. Our model provides a mechanism that optimizes autonomy distribution, consequently, enabling global control of the autonomous agents that guides or even withholds them whenever necessary. This is achieved by formulating intervention rules on the agents’ decision-making capabilities through autonomy measurement criteria. Our aim is to create an autonomy model that is flexible and reliable.

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Author information

Authors and Affiliations

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

    Salama A. Mostafa, Mohd Sharifuddin Ahmad & Azhana Ahmad

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

    Muthukkaruppan Annamalai

  3. Faculty of Computer Sciences and Information Technology, Universiti Putra Malaysia, Serdang, Selangor Darul Ehsan, Malaysia

    Aida Mustapha

Authors
  1. Salama A. Mostafa
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  2. Mohd Sharifuddin Ahmad
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  3. Azhana Ahmad
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  4. Muthukkaruppan Annamalai
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  5. Aida Mustapha
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Corresponding author

Correspondence to Salama A. Mostafa .

Editor information

Editors and Affiliations

  1. Faculty of Economics and Business Administration, University of Craiova, Craiova, Romania

    Amelia Badica

  2. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Bogdan Trawinski

  3. Institute of Informatics, Wroclaw University of Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

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© 2014 Springer International Publishing Switzerland

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Mostafa, S.A., Ahmad, M.S., Ahmad, A., Annamalai, M., Mustapha, A. (2014). A Dynamic Measurement of Agent Autonomy in the Layered Adjustable Autonomy Model. In: Badica, A., Trawinski, B., Nguyen, N. (eds) Recent Developments in Computational Collective Intelligence. Studies in Computational Intelligence, vol 513. Springer, Cham. https://doi.org/10.1007/978-3-319-01787-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-01787-7_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01786-0

  • Online ISBN: 978-3-319-01787-7

  • eBook Packages: EngineeringEngineering (R0)

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