Predictability & criticality metrics for coordination in complex environments
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
Group planning with time constraints
Annals of Mathematics and Artificial Intelligence
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To support real world applications, a multi-agent system must deal with all relevant issues from the environment, the problem, the users and the technological infrastructure. The real world introduces restrictions and noise at all levels. The communication network may provide intermittent connectivity, variable latency and limited bandwidth. Devices have limited computation. The world is uncertain and dynamic. Tasks, resources and the team objective can change. The software may give incorrect advice. Users can make errors and initiate unplanned actions.