The Vision of Autonomic Computing
Computer
Uses of Multiagents Systems for Simulation of MAPK Pathway
BIBE '03 Proceedings of the 3rd IEEE Symposium on BioInformatics and BioEngineering
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
A multi-agent system for the quantitative simulation of biological networks
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
Cell modeling with reusable agent-based formalisms
Applied Intelligence
Self-organization in multi-agent systems
The Knowledge Engineering Review
Simulation and Analysis of Complex Biological Processes: an Organisation Modelling Perspective
ANSS '06 Proceedings of the 39th annual Symposium on Simulation
Biological Network Simulation Using Holonic Multiagent Systems
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
A multi-agent system for protein secondary structure prediction
Transactions on Computational Systems Biology III
Agent-based modelling of stem cell self-organisation in a niche
Engineering Self-Organising Systems
Mimicking human neuronal pathways in silico: an emergent model on the effective connectivity
Journal of Computational Neuroscience
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Complexity of today's systems prevents designers from knowing everything about them and makes engineering them a difficult task for which classical engineering approaches are no longer valid. Such a challenge is especially encountered in actual complex systems simulation in which underlying computational model is very tough to design. A prospective solution is to unburden designers as much as possible by letting this computational model self-build. Adaptive multi-agent systems are the foundation of the four-layer agent model proposed here for endowing systems with the ability to self-tune, self-organize and self-assemble. This agent model has been applied to an application (MicroMega) related to computational biology which aim is to model the functional behavior of unicellular yeast Saccharomyces Cerevisiae.