Biochemically-Inspired Emergent Computation

  • Lidia Yamamoto
  • Thomas Meyer
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6209)

Artificial Chemistries for Pervasive Adaptation Pervasive

Adaptation software systems are expected to exhibit life-like properties such as robust operation in uncertain environments, adaptive immunity against foreign attackers, self-maintenance, and so on. The traditional software design model based on top-down human engineering fails in this context, where new, bottom-up emergent computation [1,2] techniques seem more appropriate.

Since chemistry and biochemistry are the basis of life, Artificial Chemistries [3] and Artificial Biochemistries [4] stand out as natural ways to model such bottomup life-like software. However, understanding and harnessing the power of emergent behavior in such complex systems is difficult. This position statement highlights some potentially fruitful research directions towards this goal. We advocate that an important research goal within such bottom-up approach is to construct systems able to achieve automatic transitions from lower levels of complexity to higher ones.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Lidia Yamamoto
    • 1
  • Thomas Meyer
    • 2
  1. 1.Data Mining and Theoretical Bioinformatics Team Image Sciences, Computer Sciences and Remote Sensing Laboratory (LSIIT)University of StrasbourgFrance
  2. 2.Computer Networks Group, Computer Science DepartmentUniversity of BaselSwitzerland

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