An Agent-based Environment for Simulation Model Composition
2008 (English)In: Proceedings of the 22nd ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation PADS, 2008, 175-184 p.Conference paper (Refereed)
As Modelling and Simulation gains more popularity, the demand on reducing time and resource costs associated with development and validation of simulation models has also increased. Composing simulation models of reusable and validated simulation components is one approach for addressing the above demand. This approach requires a composition process that is able to support a modeller with discovery and identification of components as well as giving feedback on feasibility of a composition.
Software agents are programs that can with some degree of autonomy perform tasks on behalf of a user or another program. In a Multi Agent System (MAS) autonomous agents interact and collaborate with each other in order to solve complex problems that are beyond the individual capabilities or knowledge of each agent, thus providing modularity and scalability. The objective of this work has been to develop a Multi Agent System for discovery and composition of BOM (Base Object Model) based simulation models, which provides the flexibility and adaptability to test and assess, amongst others different discovery and composition methods and techniques.
The MAS that we developed is based on the JACK (TM) Intelligent Agents and executes a rule-based process for discovery and composition of BOMB. Our preliminary results indicate its feasibility, portability, adaptability and flexibility.
Place, publisher, year, edition, pages
2008. 175-184 p.
, Workshop on Parallel and Distributed Simulation, ISSN 1087-4097
Agents, Artificial intelligence, Autonomous agents, Chlorine compounds, Computer networks, Electric power transmission networks, Financial data processing, Fischer-Tropsch synthesis, Intelligent agents, Distributed simulations, Simulation modelling
IdentifiersURN: urn:nbn:se:kth:diva-8518DOI: 10.1109/PADS.2008.18ISI: 000257570100027ScopusID: 2-s2.0-50849123418ISBN: 978-0-7695-3159-5OAI: oai:DiVA.org:kth-8518DiVA: diva2:13863
QC 201008302008-05-262008-05-262010-08-30Bibliographically approved