Demo paper: AGADE - Scalability of ontology based agent simulations

Farrenkopf, Thomas; Guckert, Michael; Urquhart, Neil B; Wells, Simon

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.

Citation

Farrenkopf, T., Guckert, M., Urquhart, N. B., & Wells, S. (2016). Demo paper: AGADE - Scalability of ontology based agent simulations. In Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection (256-259). https://doi.org/10.1007/978-3-319-39324-7_25

• Conference Name: 14th International Conference on Practical Applications of Agents and Multi-Agent Systems
• Conference Location: Sevilla, Spain
• Start Date: Jun 1, 2016
• End Date: Jun 3, 2016
• Acceptance Date: Feb 23, 2016
• Online Publication Date: May 20, 2016
• Publication Date: May 20, 2016
• Deposit Date: Apr 5, 2016
• Publicly Available Date: May 20, 2016
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Pages: 256-259
• Series Title: Lecture Notes in Computer Science
• Series ISSN: 0302-9743
• Book Title: Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection
• ISBN: 978-3-319-39323-0, 978-3-319-39324-7,
• DOI: https://doi.org/10.1007/978-3-319-39324-7_25
• Keywords: Multi-Agent System; BDI; OWL Ontology; Market Simulation; Distributed Simulation
• Public URL: http://researchrepository.napier.ac.uk/id/eprint/9785