Theoretical Computer Science
CIRCA: the cooperative intelligent real-time control architecture
CIRCA: the cooperative intelligent real-time control architecture
A coordination algorithm for multi-agent planning
MAAMAW '96 Proceedings of the 7th European workshop on Modelling autonomous agents in a multi-agent world : agents breaking away: agents breaking away
Distributed problem solving and planning
Multiagent systems
Maintaining knowledge about temporal intervals
Communications of the ACM
Coordinating Plans of Autonomous Agents
Coordinating Plans of Autonomous Agents
Exploiting Implicit Representations in Timed Automaton Verification for Controller Synthesis
HSCC '02 Proceedings of the 5th International Workshop on Hybrid Systems: Computation and Control
LICS '96 Proceedings of the 11th Annual IEEE Symposium on Logic in Computer Science
Modelling, Control and Validation of Multi-Agent Plans in Dynamic Context
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
MARCoPlan: MultiAgent Remote Control for Robot Motion Planning
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Multi-agent systems: modeling and verification using hybrid automata
ProMAS'09 Proceedings of the 7th international conference on Programming multi-agent systems
ProMAS'04 Proceedings of the Second international conference on Programming Multi-Agent Systems
MAS: qualitative and quantitative reasoning
ProMAS'11 Proceedings of the 9th international conference on Programming Multi-Agent Systems
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This paper presents a modeling of multi-agent plans by means of hybrid automata. The interest of those automata is that they can model different clocks evolving with different speeds. In our framework of aircraft simulation, those clocks may be the resources of each plane and the time. The multi-agent plan is also a network of synchronized hybrid automata where each automaton represents an agent's plan. The aim of this modeling is to control the execution and the planning of the multi-agent plan.