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Towards Physarum binary adders.

Jeff Jones1, Andrew Adamatzky

  • 1Unconventional Computing Centre, University of the West of England, Bristol BS16 1QY, UK. jeff.jones@uwe.ac.uk

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Summary
This summary is machine-generated.

Physarum polycephalum plasmodium exhibits computational abilities. Computer models demonstrate its capacity to implement logical gates and a one-bit adder, showcasing its potential for biological computation.

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Area of Science:

  • Computational Biology
  • Biocomputing
  • Mycology

Background:

  • The plasmodium of Physarum polycephalum, a single-celled organism, exhibits complex foraging behavior.
  • This behavior has been interpreted as a form of computation, where nutrient distribution serves as input and the network of cytoplasmic tubes as the output.
  • Previous research demonstrated the implementation of basic logical gates within this organism's foraging patterns.

Purpose of the Study:

  • To simplify existing designs for logical gates implemented in Physarum polycephalum.
  • To computationally model and verify the plasmodium's capability for performing more complex computations, including two-input and three-input logical operations.
  • To design and simulate a binary one-bit adder using these simplified logical gates.

Main Methods:

  • Computer modeling and simulation were employed to analyze the computational capabilities of the plasmodium.
  • Simplified designs for logical gates (AND, OR) were developed and tested.
  • These gates were integrated to construct a binary one-bit adder, and its functionality was validated through simulation.

Main Results:

  • The study successfully modeled simplified two-input (xy, x+y) and three-input (xyz, x+y+z) logical gates implemented through the plasmodium's foraging behavior.
  • A functional binary one-bit adder was designed and its validity was confirmed via computer simulation.
  • The results demonstrate enhanced computational potential beyond basic logical operations.

Conclusions:

  • The Physarum polycephalum plasmodium is capable of performing complex computations, including those required for arithmetic operations like addition.
  • Simplified gate designs offer a viable pathway for realizing biocomputing applications using this organism.
  • Computer simulations provide a powerful tool for exploring and validating the computational abilities of biological systems.