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Discovering Boolean gates in slime mould

Adamatzky, Andrew

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Abstract

Slime mould of Physarum polycephalum is a large cell exhibiting rich spatial non-linear electrical characteristics. We exploit the electrical properties of the slime mould to implement logic gates using a flexible hardware platform designed for investigating the electrical properties of a substrate (Mecobo). We apply arbitrary electrical signals to ‘configure’ the slime mould, i.e. change shape of its body and, measure the slime mould’s electrical response. We show that it is possible to find configurations that allow the Physarum to act as any 2-input Boolean gate. The occurrence frequency of the gates discovered in the slime was analysed and compared to complexity hierarchies of logical gates obtained in other unconventional materials. The search for gates was performed by both sweeping across configurations in the real material as well as training a neural network-based model and searching the gates therein using gradient descent.

Publication Date Jan 1, 2018
Peer Reviewed Peer Reviewed
Book Title Inspired by nature
ISBN 9783319679969
APA6 Citation Adamatzky, A. (2018). Discovering Boolean gates in slime mould. In A. Adamatzky (Ed.), Inspired by nature, . Springer
Keywords boolean gates slime mould
Publisher URL https://link.springer.com/chapter/10.1007/978-3-319-67997-6_15
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