NDLI: An Agent-Based Environment for Simulation Model Composition

Content Provider	IEEE Xplore Digital Library
Author	Moradi, F. Ayani, R.
Copyright Year	2008
Description	Author affiliation: FOI, Swedish Defence Res. Agency, Stockholm (Moradi, F.)
Abstract	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 BOMs. Our preliminary results indicate its feasibility, portability, adaptability and flexibility.
Starting Page	175
Ending Page	184
File Size	699800
Page Count	10
File Format	PDF
ISBN	9780769531595
ISSN	10874097
DOI	10.1109/PADS.2008.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-03
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Costs Feedback Software agents Autonomous agents Collaborative work Scalability Bills of materials System testing Intelligent agent Assembly systems Semantic Web Services Component based simulation development BOM Multi agent systems
Content Type	Text
Resource Type	Article

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2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
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