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Artificial Immune Systems: 10th International Conference, by Soumya Banerjee, Drew Levin, Melanie Moses, Frederick

By Soumya Banerjee, Drew Levin, Melanie Moses, Frederick Koster, Stephanie Forrest (auth.), Pietro Liò, Giuseppe Nicosia, Thomas Stibor (eds.)

This booklet constitutes the refereed complaints of the tenth foreign convention on synthetic Immune platforms, ICARIS 2011, held in Cambridge, united kingdom, in July 2011. The 37 revised complete papers have been conscientiously reviewed and chosen from a variety of submissions. The papers are equipped in topical sections on immunoinformatics and computational immunology; conception of immunological computation; and utilized immunological computation.

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Additional resources for Artificial Immune Systems: 10th International Conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011. Proceedings

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The third time we inject a - mutated - antigen (two bits underwent a simulated flip mutation), namely the binary string (1011011101101111). It is of note how the cross-reactivity, observed in nature is here reproduced: Fig. 4 (right plot), Fig. 5 and Fig. 6 present the dynamics of cell populations under control, presenting important similarities with real immunological responses. Moving towards larger and then more complex (but closer to the reality) systems, we have enriched our IS simulation scenario: we indeed simulated a 20 bit encoded IS.

In its strictest guise, here, the account is primarily concerned with navigation in the lymphatic system. As the lymphatic system is not closed, there are two additional elements that have to be taken into account: Representation of Connectivity Routes 37 i) the production of mature lymphocytes in primary lymphoid organs; ii) the collection of fluid from tissues by the lymphatic system and its advection into the cardiovascular system. We will focus on this second element. Regionalisation of processes.

However, this research does not take into account some specific properties of biological systems, which differ from most computer systems in fundamental ways. A key difference is that biological systems are often composed of large numbers of processes with identical (or equivalent) behavior, such as thousands of proteins of the same type. Another difference is that the scope (the environment where the interaction can actually take place) of private interaction channels is often limited to a relatively small number of processes, usually to represent the formation of complexes.

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