This paper presents a simulation platfomi that has been realised in Java 1.1 for the study of behaviour and evolutionary processes in non-linear systems. To support the modelling of such systems, we propose the use of agent technology as high level tool to design applications. The framework enables to study emergence by exploiting distributing computing as key issues of the system behaviour. Applications devcioped with the platform are then simulated to adequately capture any behaviour likely to be observed, to exhibit self-organised structures, and to emphasise complex processes, which are brought in action. This approach then allows the study of macroscopic collections endowed with the potential to evolve during time.
CITATION STYLE
Marcenac, F., Courdier, R., Calderoni, S., & Christophe Soulié, J. (1998). Towards an emergence machine for complex systemssimulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1416, pp. 785–794). Springer Verlag. https://doi.org/10.1007/3-540-64574-8_465
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