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An Ontology-Driven Approach for Modeling a Multi-agent-Based Electricity Market

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Multiagent System Technologies (MATES 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9872))

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Abstract

Model Driven Development has prompted domain experts to use high-level languages for specifying, testing, verifying and code final application. While Model Driven Development has had a significant contribution to the development of Multi-Agent-Based Simulation, it becomes more and more important to develop appropriate means for representing and integrating the knowledge of domain experts into auto-generated simulation agent-based models. This paper proposes an approach for modeling and simulating agent-based models on the basis of an Ontology-Driven Conceptual Modeling approach in a quite generic scenario for modeling electricity markets. The contribution of this paper is focused on the creation of set of methods, mechanisms and tools to support the design, implementation and experimentation of agent-based models from the instantiation of an ontology-based conceptual modeling.

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Notes

  1. 1.

    http://velocity.apache.org/.

  2. 2.

    http://protegewiki.stanford.edu/wiki/.

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Authors and Affiliations

  1. University of Applied Sciences Western Switzerland (HES-SO VS), Rue de Technopole 3, 3960, Sierre, Switzerland

    Geovanny Poveda & René Schumann

Authors
  1. Geovanny Poveda
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  2. René Schumann
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Corresponding author

Correspondence to Geovanny Poveda .

Editor information

Editors and Affiliations

  1. DFKI , Saarbrücken, Germany

    Matthias Klusch

  2. Institute for Computer Science &, University of Duisburg-Essen Institute for Computer Science &, Essen, Nordrhein-Westfalen, Germany

    Rainer Unland

  3. IBM Haifa Research Lab , Haifa, Israel

    Onn Shehory

  4. University of Hamburg VSIS, Hamburg, Hamburg, Germany

    Alexander Pokahr

  5. Distributed Artificial Intelligence, Technical University of Berlin Distributed Artificial Intelligence, Berlin, Berlin, Germany

    Sebastian Ahrndt

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Poveda, G., Schumann, R. (2016). An Ontology-Driven Approach for Modeling a Multi-agent-Based Electricity Market. In: Klusch, M., Unland, R., Shehory, O., Pokahr, A., Ahrndt, S. (eds) Multiagent System Technologies. MATES 2016. Lecture Notes in Computer Science(), vol 9872. Springer, Cham. https://doi.org/10.1007/978-3-319-45889-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-45889-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45888-5

  • Online ISBN: 978-3-319-45889-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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