Titlebook: Coordination, Organizations, Institutions, and Norms in Agent Systems XI; COIN 2015 Internatio Virginia Dignum,Pablo Noriega,Jaime Sim?o Si

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Reinforcement Learning of Normative Monitoring Intensities,. This choice becomes more complicated in environments where there is uncertainty. In this paper, we address the question of choosing actions in environments where there is uncertainty regarding both the outcomes of agent actions and the intensity of monitoring for norm violations. Our technique ass

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Communication in Human-Agent Teams for Tasks with Joint Action,on is important to establish a shared situation of the task at hand. With no human in the loop and little cost for communication, information about the task can be easily exchanged. However, when communication becomes expensive, or when there are humans in the loop, the strategy for sharing informat

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Formation of Association Structures Based on Reciprocity and Their Performance in Allocation Probleks or resources preferentially to agents in the same associations in busy large-scale distributed environments. Models of multi-agent systems (MAS) are often used to express tasks that are done by teams of cooperative agents, so how each subtask is allocated to appropriate agents is a central issue.

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Interest-Based Negotiation for Policy-Regulated Asset Sharing,reflect concerns regarding security, privacy and performance to name a few, placed on the resources. Thus, to effectively share resources, members of a coalition need to negotiate on policies and at times refine them to meet the needs of the operating environment. Towards achieving this goal, in thi

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Implementation of Normative Practical Reasoning with Durative Actions,n possible norms imposed on those actions. Normative practical reasoning supports agents decision making about what is best for an agent to do in a given situation. What makes practical reasoning challenging is the conflict between goals that the agent is pursuing and the norms that the agent is try

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