Time management in the DoD high level architecture
PADS '96 Proceedings of the tenth workshop on Parallel and distributed simulation
Theoretical Computer Science - Natural computing
Interaction-Oriented Agent Simulations: From Theory to Implementation
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
An architecture for modular distributed simulation with agent-based models
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Format-Store: A Multi-agent Based Approach to Experiential Learning
VS-GAMES '11 Proceedings of the 2011 Third International Conference on Games and Virtual Worlds for Serious Applications
IODA: an interaction-oriented approach for multi-agent based simulations
Autonomous Agents and Multi-Agent Systems
AGRE: integrating environments with organizations
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
A flexible approach to multi-level agent-based simulation with the mesoscopic representation
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Interaction control for postural correction on a riding simulation system
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
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The design of multiagent simulations devoted to complex systems, addresses the issue of modeling behaviors that are involved at different space, time, behavior scales, each one being relevant so as to represent a feature of the phenomenon. We propose here a generic formalismintended to represent multiple environments, endowed with their own spatiotemporal scales and with behavioral rules for the agents they contain. An environment can be nested inside any agent, which itself is situated in one or more environments. This leads to a lattice decomposition of the global system, which appears to be necessary for an accurate design of multi-scale systems. This uniform representation of entities and behaviors at each abstraction level relies upon an interaction-oriented approach for the design of agent simulations, which clearly separates agents from interactions, from the modeling to the code. We also explain the implementation of our formalism within an existing interaction-based platform.