Resolving mutually exclusive interactions in agent based distributed simulations
WSC '04 Proceedings of the 36th conference on Winter simulation
Proceedings of the 38th conference on Winter simulation
A Comparison of Interest Manager Mechanisms for Agent-Based Simulations Using a Time Warp Executive
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
Quantitative assessment of an agent-based simulation on a time warp executive
Proceedings of the 40th Conference on Winter Simulation
A scalable data distribution management approach
Proceedings of the 2010 Summer Computer Simulation Conference
Agent communication in distributed simulations
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
JavaScript Distributed Agent Based Discrete Event Simulation
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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Distributed simulation enables participants situated in different geographical locations to share a common virtual world, which is called a Distributed Virtual Environment (DVE). Among the different research topics concerned with DVEs, there is a current trend of linking Multi-Agent systems and DVEs together. With the properties of autonomy, social ability, reactivity and proactiveness, agents can be used to represent entities in DVEs, where fast and accurate decision making is a determining factor of the whole environment.This paper provides a description of integrating agents into an HLA-based distributed simulation. It focuses on how to construct the sensor of an agent with different interest management schemes. Using the JADE (Java Agent DEvelopment Framework) agent toolkit and the High Level Architecture (HLA) in our prototype, a minesweeping game, we outline two different implementations of this game. Due to the dynamic characteristics of agents, a problem of overdue information from the environment is discussed, and we propose an enlarged subscription region method to solve this problem. Moreover, advisories provided by the HLA are adopted to reduce the overheads. Conclusions are drawn based on the experimental results of these implementations.