Towards reducing complexity of multi-agent simulations by applying model-driven techniques

Hoffman, Benjamin; Chalmers, Kevin; Urquhart, Neil; Farrenkopf, Thomas; Guckert, Michael

Abstract

Creating multi-agent simulations is a challenging task often requiring programming skills at the professional software developer level. Model driven methods of software development are an appropriate tool for reducing the complexity of the development process of such simulations. The modeller is relieved from implementing time consuming programming details and can concentrate on the application itself. We present the domain specific language Athos with which network based traffic simulations can be created declaratively. The models are platform independent and executable code can be generated for two popular multi-agent platforms. We use a simple yet illustrative example to show how Athos can be applied.

Citation

Hoffman, B., Chalmers, K., Urquhart, N., Farrenkopf, T., & Guckert, M. (2018, June). Towards reducing complexity of multi-agent simulations by applying model-driven techniques. Presented at International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2018, Toledo, Spain

• Presentation Conference Type: Conference Paper (published)
• Conference Name: International Conference on Practical Applications of Agents and Multi-Agent Systems PAAMS 2018
• Start Date: Jun 20, 2018
• End Date: Jun 22, 2018
• Acceptance Date: Mar 12, 2018
• Online Publication Date: Jun 20, 2018
• Publication Date: 2018
• Deposit Date: Apr 10, 2018
• Publicly Available Date: Jun 20, 2018
• Publisher: Springer
• Pages: 187-199
• Series Title: Lecture Notes in Computer Science
• Series Number: 10978
• Series ISSN: 0302-9743
• Book Title: Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018
• Chapter Number: 15
• ISBN: 9783319945798
• DOI: https://doi.org/10.1007/978-3-319-94580-4_15
• Keywords: Domain-Specific Language, Model-driven development, Traffic simulation,
• Public URL: http://researchrepository.napier.ac.uk/Output/1148996
• Contract Date: Apr 10, 2018