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
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
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
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
Self-management capability requirements with SelfMML & INGENIAS to attain self-organising behaviours
Proceedings of the second international workshop on Self-organizing architectures
Role evolution in Open Multi-Agent Systems as an information source for trust
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Self-organisation in an agent network via learning
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Self-organisation in an agent network via multiagent Q-learning
PKAW'10 Proceedings of the 11th international conference on Knowledge management and acquisition for smart systems and services
Flexible behaviour regulation in agent based systems
CARE@AI'09/CARE@IAT'10 Proceedings of the CARE@AI 2009 and CARE@IAT 2010 international conference on Collaborative agents - research and development
A cost-oriented reorganization reasoning for multiagent systems organization transitions
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
A composite self-organisation mechanism in an agent network
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Cost-Aware reorganization service for multiagent systems
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Self-organization in an agent network: A mechanism and a potential application
Decision Support Systems
Using cost-aware transitions for reorganizing multiagent systems
Engineering Applications of Artificial Intelligence
Models of coalition formation among cooperative agents: The current state and prospects of research
Scientific and Technical Information Processing
Supporting adaptation of decentralized software based on application scenarios
Journal of Systems and Software
Trust-based role coordination in task-oriented multiagent systems
Knowledge-Based Systems
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Self-organising multi-agent systems provide a suitable paradigm for developing autonomic computing systems that manage themselves. Towards this goal, we demonstrate a robust, decentralised approach for structural adaptation in explicitly modelled problem solving agent organisations. Based on self-organisation principles, our method enables the agents to modify their structural relations to achieve a better allocation of tasks in a simulated task-solving environment. The agents reason on when and how to adapt using only their history of interactions as guidance. We empirically show that, in both closed and dynamic organisations, the performance of organisations using our method is close to that of an upper bound centralised allocation method and considerably better than a random adaptation method.