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Markov Chain Based Analysis of Agent-Based Immunological System

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Transactions on Computational Collective Intelligence X

Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 7776))

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Abstract

In the course of the paper we recall the Markov model for immunological Evolutionary Multi-Agent System. The model allows to study dynamic features of the computation and increases understanding the considered classes of systems. The main contribution of the paper is the draft of the proof of the ergodicity feature of the Markov chain modelling iEMAS dynamics.

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Byrski, A., Schaefer, R., Smołka, M. (2013). Markov Chain Based Analysis of Agent-Based Immunological System. In: Nguyen, NT., Kołodziej, J., Burczyński, T., Biba, M. (eds) Transactions on Computational Collective Intelligence X. Lecture Notes in Computer Science, vol 7776. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38496-7_1

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  • DOI: https://doi.org/10.1007/978-3-642-38496-7_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38495-0

  • Online ISBN: 978-3-642-38496-7

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