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Demo Paper: AGADE

Scalability of Ontology Based Agent Simulations
  • Thomas Farrenkopf
  • Michael Guckert
  • Neil Urquhart
  • Simon Wells
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9662)

Abstract

Simulations of real world scenarios often require considerably large numbers of agents. With increasing level of detail and resolution in the underlying models machine limitations both in the aspect of memory and computing power are reached. Even more when additional features like reasoning mechanisms of semantic technologies are used as in the AGADE framework where we have extended the principal BDI paradigm with an interface to OWL ontologies. We have observed that the extensive use of ontologies results in high memory consumption due to the large number of String objects used in the reasoning process and caching mechanisms of the OWL API. We address this issue by running simulations in a highly distributed environment. In this paper we demonstrate how we enabled AGADE to be run in such an environment and the necessary architectural modifications. Furthermore, we discuss the potential size of simulations that can be run in such a setting.

Keywords

Multi-agent system BDI OWL ontology Market simulation Distributed simulation 

References

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Thomas Farrenkopf
    • 1
  • Michael Guckert
    • 1
  • Neil Urquhart
    • 2
  • Simon Wells
    • 2
  1. 1.KITE - Kompetenzzentrum für InformationstechnologieTechnische Hochschule MittelhessenGiessenGermany
  2. 2.School of ComputingEdinburgh Napier UniversityEdinburghScotland, UK

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