Artificial Intelligence
The unified software development process
The unified software development process
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
Self-Organization in Biological Systems
Self-Organization in Biological Systems
Living Design for Open Computational Systems
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
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
Self-organization in multi-agent systems
The Knowledge Engineering Review
Development of self-organising emergent applications with simulation-based numerical analysis
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
ESOA'05 Proceedings of the Third international conference on Engineering Self-Organising Systems
Designing self-organising environments with agents and artefacts: a simulation-driven approach
International Journal of Agent-Oriented Software Engineering
Model Driven Engineering for Designing Adaptive Multi-Agents Systems
Engineering Societies in the Agents World VIII
Engineering Systems Which Generate Emergent Functionalities
Engineering Environment-Mediated Multi-Agent Systems
Towards a Self-Organising Mechanism for Learning Adaptive Decision-Making Rules
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Contribution to the Control of a MAS's Global Behaviour: Reinforcement Learning Tools
Engineering Societies in the Agents World IX
Testing in multi-agent systems
AOSE'10 Proceedings of the 10th international conference on Agent-oriented software engineering
Agent-Based Modeling and Simulation of Multi-organizational Interactions in International Trade
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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Nowadays, challenge is to design complex systems that evolve in changing environments. Multi-agent systems (MAS) are an answer to implement them and many agent-oriented methodologies are proposed to guide designers. Self-organisation is a promising paradigm to make these systems adaptive: the collective function arises from the local interactions and the system design becomes thus bottom-up. The difficulty rests then in finding the right behaviours at the agent-level to make the adequate global function emerge. The aim of this paper is to show how simulation can help designers to find these correct behaviours during the design stage: by simulating a simplified system and observing it during execution, a designer can modify and improve the behaviour of agents. A model of cooperative agents was implemented under the SeSAm platform in order to be integrated into ADELFE, an agent-oriented methodology dedicated to adaptive MAS (AMAS). This model is described here and applied to show how the behaviour of a simple ecosystem can be improved.