Refinements of the maximin approach to decision-making in a fuzzy environment
Fuzzy Sets and Systems - Special issue on fuzzy optimization
Artificial Intelligence - Special issue on Robocop: the first step
Computational Optimization and Applications
Earth Observation Satellite Management
Constraints
Distributed Satellite Constellation Planning and Scheduling
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Multiple agent-based autonomy for satellite constellations
Artificial Intelligence
Three Scheduling Algorithms Applied to the Earth Observing Systems Domain
Management Science
The EO-1 Autonomous Science Agent
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Collaboration among a satellite swarm
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multi-Agent Collaboration: A Satellite Constellation Case
Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium
An Incremental Adaptive Organization for a Satellite Constellation
Organized Adaption in Multi-Agent Systems
Computers and Industrial Engineering
Constraint programming for controller synthesis
CP'11 Proceedings of the 17th international conference on Principles and practice of constraint programming
Evolving distributed resource sharing for cubesat constellations
Proceedings of the 14th annual conference on Genetic and evolutionary computation
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In this paper, we present the problem of management of an Earth watching mission (detection, observation, and tracking of forest fires and volcanic eruptions) by means of a constellation of low-orbit satellites. We show that the mission reactivity requirements and the strictly limited communication means led us to a specific decision architecture. This architecture is based on two components: a tracking task sharing mechanism which is centralized on the ground and regularly activated, and a reactive decision/planning mechanism which is implemented on board each satellite, permanently active, and interruptible at any time. Simulations allow us to compare results obtained with more or less frequent coordinations by the ground. We conclude by showing that this specific application can be seen as an instance of the problem of watching any dynamic unforeseeable system/environment by a team of agents in a setting of limited inter-agent communications.