Choosing social laws for multi-agent systems: minimality and simplicity
Artificial Intelligence
Using self-diagnosis to adapt organizational structures
Proceedings of the fifth international conference on Autonomous agents
The Vision of Autonomic Computing
Computer
Executing multi-robot cases through a single coordinator
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Urban traffic control with co-fields
E4MAS'06 Proceedings of the 3rd international conference on Environments for multi-agent systems III
Cooperative multiagent learning
Adaptive agents and multi-agent systems
Dynamic protocols for open agent systems
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Formalising dynamic protocols for open agent systems
Proceedings of the 12th International Conference on Artificial Intelligence and Law
Peer Pressure as a Driver of Adaptation in Agent Societies
Engineering Societies in the Agents World IX
Adaptation of Voting Rules in Agent Societies
Organized Adaption in Multi-Agent Systems
Social-based planning model for multiagent systems
Expert Systems with Applications: An International Journal
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Electronic institutions (EIs) define the rules of the game in agent societies by fixing what agents are permitted and forbidden to do and under what circumstances. Autonomic Electronic Institutions (AEIs) adapt their regulations to comply with their goals despite coping with varying populations of self-interested external agents. This paper presents a self-adaptation model based on Case-Based Reasoning (CBR) that allows an AEI to yield a dynamical answer to changing circumstances.