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A Framework for Observing Dynamics of Agent-Based Computations

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Parallel Processing and Applied Mathematics (PPAM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6068))

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Abstract

The paper contains a description of a framework designed for observing dynamics of mobile-agent computational applications. Such observations are thought to provide a basis for the experimental verification of an existing stochastic model of agent-oriented distributed computations. Some test results are also provided, which show that the proposed observational environment does not disturb an observed system’s dynamics.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Jagiellonian University, Kraków, Poland

    Jarosław Kawecki & Maciej Smołka

Authors
  1. Jarosław Kawecki
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  2. Maciej Smołka
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Editor information

Editors and Affiliations

  1. Institute of Computational and Information Sciences,, Czestochowa University of Technology,  

    Roman Wyrzykowski

  2. Department of Electrical Engineering and Computer Science, University of Tennessee, 37996-3450, Knoxville, TN, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Dabrowskiego 73, PL-42-200, Czestochowa, Poland

    Konrad Karczewski

  4. Department of Informatics and Mathematical Modeling, Technical University of Denmark, Richard Petersens Plads, Building 321, 2800, Kongens Lyngby, Denmark

    Jerzy Wasniewski

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Kawecki, J., Smołka, M. (2010). A Framework for Observing Dynamics of Agent-Based Computations. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Wasniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2009. Lecture Notes in Computer Science, vol 6068. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14403-5_27

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  • DOI: https://doi.org/10.1007/978-3-642-14403-5_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14402-8

  • Online ISBN: 978-3-642-14403-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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