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/10.1007/978-3-7091-4521-0el captures in a unique framework all the main phenomena involved in cell differentiation and can be subject to experimental testing. A prominent role in the model is played by cellular noise, which somehow controls the cell ontogenetic process from the stem, totipotent state to the mature, complete

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https://doi.org/10.1007/978-3-642-91357-0c advancements to applications in biotechnology. In this short chapter we discuss the relevance of establishing chemical communication between synthetic and natural cells as an important conceptual issue and then discuss it as a new bio/chemical-information and communication technology. To this aim,

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https://doi.org/10.1007/978-3-642-52158-4botics and machine learning. We propose that providing reinforcement learning artificial agents with a learning signal that resembles the characteristic of the phasic activations of dopaminergic neurons would be an advancement in the development of more autonomous and versatile systems. In particula

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Beschaffenheit und Berlegung der Leitungen robots selected by an artificial adaptation process. Their task is to categorise objects with different shapes. To achieve this goal, the robots can use sensory information from the environment and external “linguistic” inputs. The results show that the agents are able to solve the categorisation t

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https://doi.org/10.1007/978-3-531-91213-4. This challenging scientific perspective has produced a number of programming techniques often applied to solve concrete problems (Data Analysis, Process Optimization, Social Simulations, etc.). Computer Gaming is a field where AL techniques are applied. There are many successfully Alife products f

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https://doi.org/10.1007/978-3-322-88636-1herapeutic decisions. In recent years, the use of gene expression profiling in combination with the clinical and histological criteria traditionally used in such a prediction has been successfully introduced. Sets of genes whose expression values in a tumor can be used to predict the outcome of the

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https://doi.org/10.1007/978-3-322-87478-8 the rules of the PhysioNet/Computing in Cardiology Challenge 2011 (Moody, Comput Cardiol Challenge 38:273–276, 2011), whose aim is to develop an efficient algorithm able to run within a mobile phone that can provide useful feedback when acquiring a diagnostically useful 12-lead Electrocardiography