Titlebook: Evolution, Complexity and Artificial Life; Stefano Cagnoni,Marco Mirolli,Marco Villani Book 2014 Springer-Verlag Berlin Heidelberg 2014 Ar

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https://doi.org/10.1007/978-3-8349-8955-0ms. One approach to self-organisation is the introduction of agents which are able to continuously adapt their behaviour to changing environmental conditions and thus collectively create an efficient and robust system. In this paper, we introduce an evolutionary approach to an agent which acts auton

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Models of Gene Regulation: Integrating Modern Knowledge into the Random Boolean Network Frameworkolean functions of the model, i.e. the specifics of how genes activate according to the activity of upstream genes, and presented a new update function that takes into account the actual promoting and repressing effects of one gene on another. Improved models demonstrate the expected, biologically s

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Automatic Design of Boolean Networks for Modelling Cell Differentiationhile keeping the other main relevant statistical features of classical RBNs. This ensemble is designed by means of an optimisation process, in which a stochastic local search (SLS) optimises an objective function which accounts for the requirements the network ensemble has to fulfil.

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Building Up Serious Games with an Artificial Life Approach: Two Case Studiesed to develop generic games (e.g., sports, adventures, business games, etc.) without any relation with a biological perspective. We describe BreedBot and Learn2Lead, two Serious Games that we think could be paradigmatic examples about how to use AL techniques in different ways and fields that could

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