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Engineering Self-modeling Systems: Application to Biology
Carole Bernon, Davy Capera, Jean-Pierre Mano
Alexander Artikis, Gauthier Picard, Laurent Vercouter (eds.)
Engineering Societies in the Agents World IX, pages 248–263
Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence) 5485
Springer
June 2009
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everything about them and makes engineering them a difficult task for which classical engineering approaches are no longer valid.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.
Lecture Notes in Computer Science (LNCS)
Engineering Societies in the Agents World IX (edited volume, 2009) — Alexander Artikis, Gauthier Picard, Laurent Vercouter