Titlebook: Artificial Immune Systems; 9th International Co Emma Hart,Chris McEwan,Andy Hone Conference proceedings 2010 Springer-Verlag Berlin Heidelb

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Defining a Simulation Strategy for Cancer Immunocompetencembers of naive T cells with age, as they play a important role in responses to cancer and anti-tumour vaccination. In this work we present an agent-based simulation model to understand the interactions which influence the naive T cell populations over time. Our agent model is based on existing mathe

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Modular RADAR: An Immune System Inspired Search and Response Strategy for Distributed Systemsoffs as balancing local and global communication and show that similar tradeoffs exist in distributed systems like LN inspired artificial immune system (AIS) applications and peer-to-peer (P2P) systems. Taking inspiration from the architecture of the NIS, we propose a modular RADAR (Robust Adaptive

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An Information-Theoretic Approach for Clonal Selection Algorithmsn a specific problem instance. To assess the learning capability during the evolution of the algorithm three different relative entropies were used: ., . and . divergences. The adopted entropic divergences show a strong correlation between optima discovering, and high relative entropy values.

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162058.jpg

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,Erläuterung des Forschungsvorhabens,found in the spleen, liver and bone marrow. Characteristic of the liver immune response to leishmaniasis is a type of inflammation (“ggranulomatous inflammation”) that results in the formation of granulomas, structures comprised of an infiltrate of mononuclear cells surrounding a core of infected ma

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,Erläuterung des Forschungsvorhabens,n is often interpreted as an asexual variant of natural selection, and thus, tend to be variations on evolutionary strategies. Retro-fitting immunological sophistication and theoretical rigour onto such systems has proved to be unwieldy. In this paper we assert the primacy of . over selection and mu