Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Why interaction is more powerful than algorithms
Communications of the ACM
"Plug and test": software agents in virtual environments
Proceedings of the 32nd conference on Winter simulation
Dealing with space in multi--agent systems: a model for situated MAS
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Introduction to simulation: introduction to modeling and simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Decentralized control of E'GV transportation systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A Formal Model for Situated Multi-Agent Systems
Fundamenta Informaticae - Multiagent Systems (FAMAS'03)
Architecture-Centric development of an AGV transportation system
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Extending time management support for multi-agent systems
MABS'04 Proceedings of the 2004 international conference on Multi-Agent and Multi-Agent-Based Simulation
About the role of the environment in multi-agent simulations
E4MAS'04 Proceedings of the First international conference on Environments for Multi-Agent Systems
An autonomous robotic system for load transportation
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
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Automatic Guided Vehicles (AGVs) are unmanned vehicles that can transport loads in a warehouse. AGVs are instructed by on-board AGV control software. As multiple AGVs operate in a decentralized manner in the warehouse environment, conflicts may arise. Consequently, it is crucial to test thoroughly whether the AGV control software actually handles the potential conflicts in the appropriate way. In this paper, we employ a simulated warehouse environment to test the AGV control software. The AGV control software is embedded and activated in the simulated warehouse environment. The simulated warehouse environment provides support for testing by means of (1) representing dynamism in the warehouse environment in an explicit manner, and (2) detecting conflicts of dynamism in an automated way. The approach is illustrated for the case of testing collision avoidance.