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In studying complex systems, agent-based simulations offer the possibility of directly modelling components in an environment. However, the scientific value of agent-based simulations has been limited by inadequate scientific rigour. The paper focuses on agent-based simulations that are used in biological and bio-medical research. Starting from a review of best practice in simulation engineering,...
Modeling and simulation of complex systems are activities where collaboration between researchers with complementary points of view, skills and knowledge is well established and constitutes the usual working way rather than an exception. To manage difficulties of traditional modeling project (how to translate informal knowledge into an implemented software, which intermediate models are needed to...
Understanding the functional organization of large-scale real neural networks will require the development of techniques capable of predicting, recording, and interpreting the activities of the very large numbers of neurons that participate in their operation. This presents a considerable technical problem for systems-level neurobiologists and associated biomedical engineers. The authors describe...
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