Non-deterministic Explanation of Immune Responses: A Computer Model

  • Anastasio Salazar-Bañuelos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5666)


Classically, immune responses are considered to be antigen-driven, implying a direct or indirect pattern recognition. This deterministic, instructionalist view of the immune system relies on molecular recognition; hence, the occurrence of immune responses depends exclusively on the differentiation between “Self” and “Non-Self” molecules[1,2]. A different approach is to consider immune responses as the emergent phenomena of a complex dynamic system as it is understood in System Biology[3]. Here, I present a computer simulation in NetLogo4.0.3[4] based on a theory that considers the emergence of inflammation as the defining phenomena of an immune response. Whereas the theory recognizes that microscopic events such as molecular recognition are part of the dynamics of the system, it maintains that immune phenomena cannot be understood from the study of individual events alone. The theoretical basis for this work is described elsewhere [5].


Stem Cell Bone Marrow Molecular Recognition Clonal Expansion Clonal Selection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Anastasio Salazar-Bañuelos
    • 1
  1. 1.Hotchkiss Brain Institute Department of Surgery, Division of TransplantationUniversity of CalgaryCanada

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