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Titlebook: Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems X; International Worksh Nirav Ajmeri,And

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Self-learning Governance of Black-Box Multi-Agent Systems,tructed to leave any freedom of decision to the agents, learns that combining the agents’ and its own capabilities is better than controlling . actions. As shown experimentally, the self-learning approach outperforms (w.r.t. the system objective) both “full control” where actions are always dictated
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,Computational Theory of Mind for Human-Agent Coordination,models for human-agent negotiation. We perform two-agent simulations to analyze the role of affinity in getting to agreements when there is a bound on the time to be spent for negotiating. Our results suggest that modeling affinity can ease the negotiation process by decreasing the number of rounds
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Types of Welfare/Efficiency Interactions,m performance. In this work, we investigate the relative efficacy of two human-agent coordination protocols that differ in the team member responsible for allocating tasks to the team. We designed, implemented, and experimented with an environment in which virtual human-agent teams repeatedly coordinate to complete heterogeneous task sets.
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