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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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楼主: Animosity
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Evaluation of Fundamental Characteristics of Information Systems Based on Photonic DNA Computing important. We also considered a simple algorithm for solving the maximum clique problem and found that photonic DNA computing is effective to reduce the amount of DNA strands used and processing time compared to the conventional DNA computing.
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Perspectives of Self-adapted Self-organizing Clustering in Organic Computingired by biological paradigms which allow to transfer ideas of organic computing to the important task of efficient clustering. We discuss existing methods of adaptivity and point out a taxonomy according to which adaptivity can take place. Afterwards, we develop general perspectives for an efficient self-adaptivity of self-organizing clustering.
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The Evolutionary Emergence of Intrinsic Regeneration in Artificial Developing Organismsvidence collected from simulations, regeneration is shown to emerge as evolution converges to more regular regions of the genotype space..The conclusion is that intrinsic fault-tolerance emerges as evolution increases the evolvability of the development process.
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Modeling of Trees with Interactive L-System and 3D Gesturesut interactively. The system carefully addresses the fragile balance and tradeoff between the freedom of user interaction and the autonomy of tree growth. Users intuitively and easily create tree models that have the exact features of branching structures or the silhouette shape of trees according to user intentions and imagination.
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Vanessa Lamb,Carl Middleton,Saw Winin control. Through this bio-electronic hybrid architecture the continuous negotiation process between local intracellular reconfiguration on the micro-physical scale and global behaviour of the cell in a macroscale environment can be studied in a device setting.
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Scientific Realism and Metaphysicsntioned above, an adaptive hash function is needed. In this paper, an approach for a hardware packet classifier using an evolvable hash function is presented. It consists of an evolutionary algorithm which is entirely implemented in hardware.
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Massimiliano Cappuccio,Michael Wheelerrking realization using MOVE processors whose instructions define the flow of data rather than the operations to be executed [3]. It starts with one basic MOVE processor that first replicates itself three times; the four resulting processors then differentiate and connect together to implement a multi-processor modulus-60 counter.
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