Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
Distributed, parallel simulation of multiple, deliberative agents
PADS '00 Proceedings of the fourteenth workshop on Parallel and distributed simulation
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Interest Management in Agent-Based Distributed Simulations
DS-RT '03 Proceedings of the Seventh IEEE International Symposium on Distributed Simulation and Real-Time Applications
Distributed Multiagent Simulation on P2P Architecture
DS-RT '07 Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications
Advancing the Layered Approach to Agent-Based Crowd Simulation
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
An Agent-Based Intelligent Transport System
Computer Supported Cooperative Work in Design IV
DisSimJADE: a framework for the development of agent-based distributed simulation systems
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
A hybrid time management approach to agent-based simulation
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
Evaluation and comparison of multi-agent based crowd simulation systems
Agents for games and simulations II
Communication- and computation- bounded agents in multi-agent simulations
HoloMAS'11 Proceedings of the 5th international conference on Industrial applications of holonic and multi-agent systems for manufacturing
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Multi-Agent Systems (MASs) provide a valuable tool for handling increasing software complexity and supporting rapid and accurate decision making. Various environments for testing, analyzing and developing MASs have been developed. This paper describes an approach to integrating agents into distributed simulations. Using the JADE toolkit and the HLA (High Level Architecture), a general architecture is obtained, where both the high level agent specific services and the underlying middleware comply with international standards. In this paper, we show how an MAS may be used to represent entities in a simulation, focusing on the issue of agent to agent communication, as this is one of the key characteristics of MASs. The causality problem in agent communication is described, and conditions for ensuring consistency are identified. A prototype system has been implemented to demonstrate the feasibility of our solution and some experimental results are presented.