Christophe Lecerf

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—This paper addresses the simulation of the dynamics of complex systems by using hierarchical graph and multi-agent system. A complex system is composed of numerous interacting parts that can be described recursively. First we summarize the hierarchical aspect of the complex system. We then present a description of hierarchical graph as a data structure for(More)
Open and organized systems such as living organisms regulate their exchanges in order to maintain adaptation to their environment. When one reduces a biological organism to its central nervous system (CNS), adaptation comes up as an information flow exchange between the CNS and its environment. Though, the main mechanism used so far to explain learning is(More)
— This paper describes an agent-based method for modeling and simulation of the cerebellar cortex of nervous system in particular and for complex systems in general. By modular and hierarchical model design, this method allows us to enhance the system model under study without having to rebuild the whole model. We also discuss how well our agent-based(More)
Complex systems are composed of many heterogeneous elements organized in a hierarchical way, whose mutual interactions make emergent collective behaviors to appear at the highest levels of observation. In biology, as shown by the integrative physiology theory [2], space and geometry have a significant role in the simulation results. In this paper we expose(More)
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