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Titlebook: Artificial Immune Systems; 8th International Co Paul S. Andrews,Jon Timmis,Andy M. Tyrrell Conference proceedings 2009 Springer-Verlag Berl

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Frank A. Coutelieris,Antonios Kanavourasd from the search process. In evolutionary computation one defines some finite maximal lifespan and assigns age 0 to each new search point. In artificial immune systems static pure aging is used. There a finite maximal lifespan is defined but new search points inherit the age of their origin if they
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Frank A. Coutelieris,Antonios Kanavourasmatch any element of .. Then, use these detectors to partition a monitor set . into self and non-self elements. Implementations of this scheme are often impractical because they need exponential time in the size of . to construct .. Here, we consider .-chunk and .-contiguous detectors, two common im
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Conclusion: Toward an Ecology of Attentionrobotic system with an immuno-engineering approach. Within immuno-engineering, the initial stage of our research involves the understanding of problem domain, namely anomaly detection, in a foraging swarm robotic system deployed in dynamic environments. We present a systematically derived set of act
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Conclusion: Toward an Ecology of Attentionimplemented to convert possible pathways to qualitative models. Then a general learning strategy is presented. To improve the scalability of the proposed QML system and make it adapt to future more complicated pathways, an immune-inspired approach, a modified clonal selection algorithm, is proposed.
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Artificial Immune Systems978-3-642-03246-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
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