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• W292227288 abstract "Biological systems are typically complex and adaptive, involving large numbers of entities, or organisms, and many-layered interactions between these. System behaviour evolves over time, and typically benefits from previous experience by retaining memory of previous events. Given the dynamic nature of these phenomena, it is non-trivial to provide a comprehensive description of complex adaptive systems and, in particular, to define the importance and contribution of low-level unsupervised interactions to the overall evolution process. In this chapter, the authors focus on the application of the agent-based paradigm in the context of the immune response to HIV. Explicit implementation of lymph nodes and the associated lymph network, including lymphatic chain structure, is a key objective, and requires parallelisation of the model. Steps taken towards an optimal communication strategy are detailed." @default.
• W292227288 created "2016-06-24" @default.
• W292227288 creator A5038645621 @default.
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• W292227288 date "2010-01-01" @default.
• W292227288 modified "2023-09-25" @default.
• W292227288 title "In Silico Biology" @default.
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• W292227288 doi "https://doi.org/10.4018/978-1-60566-768-3.ch003" @default.
• W292227288 hasPublicationYear "2010" @default.
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