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Titlebook: Biologically Inspired Approaches to Advanced Information Technology; Second International Auke Jan Ijspeert,Toshimitsu Masuzawa,Shinji Kusu

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Responses of Fluctuating Biological Systems quantity, whereas the response is given as the average change in the quantity for a given parameter change. By studying experimental evolution where fluorescence per . cell increased, we confirmed our relationship with a positive correlation between the evolutionary rate of fluorescence and its flu
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Bio-inspired Computing Machines with Self-repair Mechanisms cellular differentiation. Implemented in silicon according to these principles, new computing machines become able to grow, to self-replicate, and to self-repair. The introduction of a new algorithm for cellular division, the so-called Tom Thumb algorithm, necessitates new self-repair mechanisms of
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Perspectives of Self-adapted Self-organizing Clustering in Organic Computingformats such as graphs and profiles, and a multitude of different objectives ranging from statistical motivations to data driven quantization errors. Thus, there is a need for efficient any-time self-adaptive models and implementations. The focus of this contribution is on clustering algorithms insp
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MOVE Processors That Self-replicate and Differentiatee, a programmable hardware designed for bio-inspired applications [1,2]. As for a living organism, whose existence starts with only one cell that first divides, our system begins with only one totipotent processor, able to implement any of the cells required by the final organism, which can also ful
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The Evolutionary Emergence of Intrinsic Regeneration in Artificial Developing Organismsome know limitations of evolutionary computation; among these scalability, flexibility and, more recently, fault-tolerance..This paper focuses on the latter, proposing an explanation of the intrinsic regenerative capabilities displayed by some models of multi-cellular development..Supported by the e
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Evaluation of Fundamental Characteristics of Information Systems Based on Photonic DNA Computingotonic DNA computing clarified with calculations of its performance suggest that selecting applications suitable for photonic DNA computing systems is important. We also considered a simple algorithm for solving the maximum clique problem and found that photonic DNA computing is effective to reduce
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