The Complexity of Decentralized Control of Markov Decision Processes
Mathematics of Operations Research
Using focal point learning to improve human---machine tacit coordination
Autonomous Agents and Multi-Agent Systems
Human-agent teamwork in dynamic environments
Computers in Human Behavior
NetArg: an agent-based social simulator with argumentative agents
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
Information sharing for care coordination
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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As agents' technology becomes increasing more prevalent, coordination in mixed agent-human environments becomes a key issue. Agent-human coordination is becoming even more important in real life situations, where uncertainty and incomplete information exists and communication is costly. While abundant research has focused on aspects of computerized teamwork, little attention has been given to the issues raised in teams that consist of both computerized agents and people. In this paper we focus on teamwork between an agent and a human counterpart and present a novel agent designed to interact proficiently with people. In extensive simulations we matched our agent with people and compared it with another state-of-the-art agent. Our results demonstrate the significant improvement in coordination when our agent is involved.