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Balance vs. Contingency: Adaption Measures for Organizational Multi-agent Systems

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Intelligent Distributed Computing XV (IDC 2022)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1089))

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Abstract

Designing adaptive multi-agent Systems (MAS) is a challenging development effort. A key point of adaptive systems is that they provide alternative options for acting and designers have to weight the number and elaboration of these alternatives. Here, we concentrate on organisation-oriented MAS and show that organisational models provide suitable means for identifying key measures of this adaptivity. We define such measures, namely the balance and contingency of organizations based on our specification formalism for MAS-organisations, called Sonar.

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Notes

  1. 1.

    If we want to express this aspect, we have to replace the absolute option value \( Opt _p\) in (1) by a value weighted with the distance of the task p from G’s initial task \(p_0\), i.e. \(\gamma ^{ dist (p_0,p) } \cdot Opt _p\) where \(\gamma \in [0;1]\) is a decay factor.

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Author information

Authors and Affiliations

  1. Department for Informatics, University of Applied Science Hamburg, Hamburg, Germany

    Michael Köhler-Bußmeier & Jan Sudeikat

Authors
  1. Michael Köhler-Bußmeier
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  2. Jan Sudeikat
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Corresponding author

Correspondence to Michael Köhler-Bußmeier .

Editor information

Editors and Affiliations

  1. Bremen University of Applied Sciences, Bremen, Germany

    Lars Braubach

  2. Brandenburg University of Applied Sciences, Brandenburg, Germany

    Kai Jander

  3. University of Craiova, Craiova, Romania

    Costin Bădică

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Köhler-Bußmeier, M., Sudeikat, J. (2023). Balance vs. Contingency: Adaption Measures for Organizational Multi-agent Systems. In: Braubach, L., Jander, K., Bădică, C. (eds) Intelligent Distributed Computing XV. IDC 2022. Studies in Computational Intelligence, vol 1089. Springer, Cham. https://doi.org/10.1007/978-3-031-29104-3_25

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