Creating computer simulation systems: an introduction to the high level architecture
Creating computer simulation systems: an introduction to the high level architecture
Digital pheromone mechanisms for coordination of unmanned vehicles
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Parallel simulation: parallel and distributed simulation systems
Proceedings of the 33nd conference on Winter simulation
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
A federated approach to distributed network simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
The web from a complex adaptive systems perspective
Journal of Computer and System Sciences
VLE: a multimodeling and simulation environment
Proceedings of the 2007 Summer Computer Simulation Conference
Artifacts in the A&A meta-model for multi-agent systems
Autonomous Agents and Multi-Agent Systems
Objective coordination in multi-agent system engineering: design and implementation
Objective coordination in multi-agent system engineering: design and implementation
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Coherence and performance for interactive scientific visualization applications
SC'11 Proceedings of the 10th international conference on Software composition
Hi-index | 0.01 |
Complex systems simulation implies the interaction of different scientific fields. However, most of the time people involved into the simulation process do not know intricate distributed simulation tools and only care about their own domain modelling. We propose a framework (called AA4MM) to build a simulation as a society of interacting models. The main goal is to reuse existing models and simulators and to make them interact. The coordination challenges remain to the AA4MM framework so that the simulation design and implementation stay as simple as possible. In this paper, we present the coordination model which intends to decentralize the simulators interactions. We propose to use the environment through the notion of artefact in order to deal with the coherence, compatibility and coordination issues that appear in parallel simulations.