The Gaia Methodology for Agent-Oriented Analysis and Design
Autonomous Agents and Multi-Agent Systems
A Methodology for Developing Agent Based Systems
Proceedings of the First Australian Workshop on DAI: Distributed Artificial Intelligence: Architecture and Modelling
Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents
ECAI '96 Proceedings of the Workshop on Intelligent Agents III, Agent Theories, Architectures, and Languages
The Adaptive Agent Architecture: Achieving Fault-Tolerance UsingPersistent Broker Teams
The Adaptive Agent Architecture: Achieving Fault-Tolerance UsingPersistent Broker Teams
Self-organising agent organisations
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
RIO: roles, interactions and organizations
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
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
A composite self-organisation mechanism in an agent network
WISE'11 Proceedings of the 12th international conference on Web information system engineering
Decentralized approaches for self-adaptation in agent organizations
ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special section on formal methods in pervasive computing, pervasive adaptation, and self-adaptive systems: Models and algorithms
Cloning, resource exchange and relation adaptation: a self-organising multi-agent framework
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
Using cost-aware transitions for reorganizing multiagent systems
Engineering Applications of Artificial Intelligence
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Many models of organizations for multi-agent systems have been proposed so far. However the complexity implied by the design of social organizations in a given multi-agent system is often not mentioned. Too little has been said about rules that must be applied to build the architecture of acquaintances between agents. Moreover, tools for managing the dynamic evolution of organizations are seldom provided in current framework propositions.In this paper we discuss self-adaptation of organizations in multi-agent systems according to the dynamic of interactions between agents. Starting from a default organization, the architecture of acquaintances evolves autonomously depending on messages flow in order to improve the global behaviour of the system. We propose three principles that can be applied to adapt the organization: "have a good address book", "share knowledge", "recruit new able collaborators".These principles have been applied in our multi-agent platform called Magique.