The interdisciplinary study of coordination
ACM Computing Surveys (CSUR)
Computational and mathematical organization theory: perspective and directions
Computational & Mathematical Organization Theory
Designing organizations for computational agents
Simulating organizations
Reflections on the Nature of Multi-Agent Coordination and Its Implications for an Agent Architecture
Autonomous Agents and Multi-Agent Systems
The Dynamic Selection of Coordination Mechanisms
Autonomous Agents and Multi-Agent Systems
Adaptive decision-making frameworks for dynamic multi-agent organizational change
Autonomous Agents and Multi-Agent Systems
A study of mechanisms for improving robotic group performance
Artificial Intelligence
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In this paper we present a decision making framework to enable agents to dynamically select a coordination mechanism. To demonstrate our approach we introduce an abstract task environment in which agents have to cooperate to achieve their goals. These agents are capable of using two coordination mechanisms, a centralized and a decentralized mechanism. We show how the decision making framework is operationalized in this abstract task environment. Furthermore, in an experiment we compare the performance of two static organizations with an organization in which agents have the ability to switch between coordination mechanisms. Results show that the ability to switch improves performance of the MAS.