Randomized algorithms
Using self-diagnosis to adapt organizational structures
Proceedings of the fifth international conference on Autonomous agents
The Vision of Autonomic Computing
Computer
Principles for Dynamic Multi-agent Organizations
Proceedings of the 5th Pacific Rim International Workshop on Multi Agents: Intelligent Agents and Multi-Agent Systems
A Meta-Model for the Analysis and Design of Organizations in Multi-Agent Systems
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Self-organization through bottom-up coalition formation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
The AMAS theory for complex problem solving based on self-organizing cooperative agents
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
A Multi-Agent Systems Approach to Autonomic Computing
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Meta-Level Reasoning in Deliberative Agents
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Agent-organized networks for dynamic team formation
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Autonomous Agents and Multi-Agent Systems
Self-organization in multi-agent systems
The Knowledge Engineering Review
A Graph Based Simulation of Reorganization in Multi-agent Systems
IAT '06 Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology
Properties and mechanisms of self-organizing MANET and P2P systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Towards self-organising agent-based resource allocation in a multi-server environment
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multiagent reinforcement learning and self-organization in a network of agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Organizational self-design in semi-dynamic environments
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A capabilities-based model for adaptive organizations
Autonomous Agents and Multi-Agent Systems
An adaptative agent architecture for holonic multi-agent systems
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
So-Grid: A self-organizing Grid featuring bio-inspired algorithms
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Agent organized networks redux
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 1
Adaptation of organizational models for multi-agent systems based on max flow networks
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Rational and convergent learning in stochastic games
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Socially intelligent reasoning for autonomous agents
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A Multi-agent Organization for the Governance of Machine-to-Machine Systems
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Self-organization in an agent network: A mechanism and a potential application
Decision Support Systems
A multi-agent based governance of machine-to-machine systems
EUMAS'11 Proceedings of the 9th European conference on Multi-Agent Systems
QoS-aware fully decentralized service assembly
Proceedings of the 8th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
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Self-organizing multi-agent systems provide a suitable paradigm for developing autonomic computing systems that manage themselves. Towards this goal, we demonstrate a robust, decentralized approach for structural adaptation in explicitly modeled problem solving agent organizations. Based on self-organization principles, our method enables the autonomous agents to modify their structural relations to achieve a better allocation of tasks in a simulated task-solving environment. Specifically, the agents reason about when and how to adapt using only their history of interactions as guidance. We empirically show that, in a wide range of closed, open, static, and dynamic scenarios, the performance of organizations using our method is close (70–90%) to that of an idealized centralized allocation method and is considerably better (10–60%) than the current state-of-the-art decentralized approaches.