Agent-Based Simulation

Track Coordinators: Levent Yilmaz, Auburn University & Parastu Kasaie Sharifi, Johns Hopkins University

The Agent-Based Simulation (ABS) track is interested in theoretical, methodological and applied research that involves synergistic interaction between simulation and agent technologies. Contributions to the ABS track are expected to use agent-based models of complex adaptive systems and self-organizing emergent phenomena with applications to fields such as biomedical sciences, business, engineering, environment, individual, group, organizational behavior, social systems and intelligent transportation systems. Also, of interest are contributions that demonstrate the use of agents as support facilities to enable computer assistance in simulation-based problem solving (i.e., agent-supported simulation), or the use of agents for the generation of model behavior in a simulation study. Topics include, but are not limited to, the following:

Applications

• Autonomous and adaptive systems
• Complex adaptive systems modeling
• Self-organizing systems
• Simulation modeling of agent technologies at the organization, interaction (e.g., communication, negotiation, coordination, collaboration) and agent level (e.g., deliberation, social agents, computational autonomy)

Technology, Tools, Toolkits and Environments

• Agent infrastructures and supporting technologies (e.g., interoperability, agent-oriented simulation software engineering environments)
• Agent architectures, platforms, and frameworks
• Standard APIs for agent simulation programming

Theory/Methodology

• High-level agent specification languages for modeling and simulation
• Distributed simulation for multi-agent systems
• Formal models of agents and agent societies
• Verification, validation, testing; quality assurance; as well as failure avoidance in agent-based simulations