This framework demonstrates action planning in multi-agent systems, suggesting efficient state achievement.
In a multi-agent domain, there are two or more agents that execute actions. The actions occur over intervals of time. Actions performed by different agents may occur over distinct, overlapping, or simultaneous temporal intervals. We present a constraint based multi-agent planner which finds a sequence of actions to assign to each agent so that the execution of the actions brings about a desired state. The planner can also be used to generate explanations.
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Sufyan Kamel Maghur (1995) studied this question.
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