By Johnny Kelsey, Brian Henderson, Rob Seymour, Andy Hone (auth.), Peter J. Bentley, Doheon Lee, Sungwon Jung (eds.)

This publication constitutes the refereed court cases of the seventh overseas convention on man made Immune structures, ICARIS 2008, held in Phuket, Thailand, in August 2008.

The forty revised complete papers offered have been conscientiously reviewed and chosen from sixty seven submissions. The papers are geared up in topical sections on computational immunology, utilized AIS, and theoretical AIS. place papers and conceptual papers also are included.

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Extra resources for Artificial Immune Systems: 7th International Conference, ICARIS 2008, Phuket, Thailand, August 10-13, 2008. Proceedings

Example text

Similarly, to create an AIS upon this knowledge, we will need unlimited computer power to include all the interactions taking place in real time in this biological jungle. Only then can we predict why and when an immune response occurs. Immune Responses and the Immune System. We think of immune responses as being the function of the immune system. However, as difficult as it may seem, the immune system is a poorly defined and poorly delimited system, which sometimes even includes the skin and the colonic flora.

Probabilistic model checking of complex biological pathways. Theoretical Computer Science 319, 239–257 (2008) 20. : Interactive Markov Chains. LNCS, vol. 2428. Springer, Heidelberg (2002) 21. uk/∼ ndlo100/icaris2008/ 22. : Kinetic Proofreading: A New Mechanism for Reducing Errors in Biosynthetic Processes Requiring High Specificity. ca Abstract. Immune phenomena are explained from the reductionist view of the immune system as a collection of cells, molecules, and their interactions. Although this approach has produced abundant valuable information, it has added increased complexity.

The system responsible for this phenomenon consists of cells and molecules from the lymphatic system, which function as independent agents that interact in a random fashion between each other, the local environment, and the antigens (Fig. 1), creating a self-reproducing complex adaptive system. These random interactions consist of pro-inflammatory and inhibitory events, which neutralize each other in normal (healthy) conditions, keeping the system in a non-inflammatory mode. In contrast, inflammatory responses emerge from this system of stochastic events as an escalation of positive feedback loops of non-random events, such as the liberation of mediators, homing of cells, activation of enzymatic systems, proliferation of specific clones etc.

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