Negotiating task decomposition and allocation using partial global planning
Distributed Artificial Intelligence (Vol. 2)
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Automatic SOM Compatibility Check and FOM Development
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
A Multilevel Composability Model for Semantic Web Services
IEEE Transactions on Knowledge and Data Engineering
Ontologies for modeling and simulation: issues and approaches
WSC '04 Proceedings of the 36th conference on Winter simulation
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation and the semantic web
WSC '05 Proceedings of the 37th conference on Winter simulation
Simulation Model Composition using BOMs
DS-RT '06 Proceedings of the 10th IEEE international symposium on Distributed Simulation and Real-Time Applications
On Syntactic Composability and Model Reuse
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
Component-Based Simulation Model Development Using BOMs and Web Services
AMS '07 Proceedings of the First Asia International Conference on Modelling & Simulation
Semantic Web Service Architecture for Simulation Model Reuse
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
A Rule-based Approach to Syntactic and Semantic Composition of BOMs
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Intelligent management of data driven simulations to support model building in the social sciences
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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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™ Intelligent Agents and executes a rule-based process for discovery and composition of BOMs. Our preliminary results indicate its feasibility, portability, adaptability and flexibility.