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Robust and emergent Physarum logical-computing.

Soichiro Tsuda1, Masashi Aono, Yukio-Pegio Gunji

  • 1Graduate School of Science and Technology, Kobe University Nada, Kobe 657-8501, Japan.

Bio Systems
|January 20, 2004
PubMed
Summary
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This study demonstrates slime mold (Physarum polycephalum) Boolean gates for emergent computing. These biological devices exhibit self-repairing capabilities, showcasing robust and emergent computational attributes.

Area of Science:

  • Biocomputing
  • Complex Systems
  • Synthetic Biology

Background:

  • Emergent computing remains ill-defined, particularly in open systems where local and global behaviors interact.
  • Distinguishing emergence from errors is challenging due to dis-equilibration processes.

Purpose of the Study:

  • To implement a biological Boolean gate using slime mold (Physarum polycephalum) to explore emergent computing.
  • To investigate the behavior of this biological gate, especially under hardware failure conditions.

Main Methods:

  • Construction of a Boolean gate using the slime mold Physarum polycephalum.
  • Testing the functionality of the Physarum Boolean gate.
  • Analyzing the slime mold's behavior following simulated hardware collapse.

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Main Results:

  • The Physarum Boolean gate demonstrated functionality.
  • Observed self-repairing computational behavior in the slime mold after simulated hardware failure.
  • Physarum's adaptability suggests potential for robust emergent computing.

Conclusions:

  • Slime mold (Physarum polycephalum) can function as a biological Boolean gate.
  • The self-repairing capability of the Physarum gate highlights its potential for emergent and robust computing.
  • This work provides a tangible model for understanding emergence in biological computing systems.