Induction: processes of inference, learning, and discovery
Induction: processes of inference, learning, and discovery
Emergent behavior in classifier systems
CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
Complex Systems Dynamics
Complex Systems and Cognitive Processes
Complex Systems and Cognitive Processes
The influence of noise on the dynamics of Random Boolean Network
Proceedings of the 2009 conference on Neural Nets WIRN09: Proceedings of the 19th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, May 28--30 2009
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The discussion on the neural networks paradigm casted a bright light on the notion of network and on what we may define as the “dynamical systems approach”. The rebounds of this emphasis involved, during the years, the most disparate scientific areas, such as biology, social sciences and artificial life, contributing to reinforce the foundations of the complex systems science. In this work we will discuss about a particular network model, i.e. random Boolean networks, which have been introduced to represent the gene regulatory mechanism, and we will comment on the similarities and the differences with the model of neural networks. Moreover, we will present the results of the analysis of the dynamical behaviour that random Boolean networks show in presence of different sets of updating function and discuss on the concepts of criticality and biological suitability of such a model.