On Artificial Life and Emergent Computation in Physical Substrates
- URL: http://arxiv.org/abs/2009.04518v1
- Date: Wed, 9 Sep 2020 18:59:53 GMT
- Title: On Artificial Life and Emergent Computation in Physical Substrates
- Authors: Kristine Heiney, Gunnar Tufte, Stefano Nichele
- Abstract summary: We argue that the lens of artificial life offers valuable perspectives for the advancement of high-performance computing.
Two specific substrates are discussed in detail: biological neurons and ensembles of nanomagnets.
We conclude with a philosophical discussion on what we can learn from approaching computation with the curiosity inherent to the study of artificial life.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: In living systems, we often see the emergence of the ingredients necessary
for computation -- the capacity for information transmission, storage, and
modification -- begging the question of how we may exploit or imitate such
biological systems in unconventional computing applications. What can we gain
from artificial life in the advancement of computing technology? Artificial
life provides us with powerful tools for understanding the dynamic behavior of
biological systems and capturing this behavior in manmade substrates. With this
approach, we can move towards a new computing paradigm concerned with
harnessing emergent computation in physical substrates not governed by the
constraints of Moore's law and ultimately realize massively parallel and
distributed computing technology. In this paper, we argue that the lens of
artificial life offers valuable perspectives for the advancement of
high-performance computing technology. We first present a brief foundational
background on artificial life and some relevant tools that may be applicable to
unconventional computing. Two specific substrates are then discussed in detail:
biological neurons and ensembles of nanomagnets. These substrates are the focus
of the authors' ongoing work, and they are illustrative of the two sides of the
approach outlined here -- the close study of living systems and the
construction of artificial systems to produce life-like behaviors. We conclude
with a philosophical discussion on what we can learn from approaching
computation with the curiosity inherent to the study of artificial life. The
main contribution of this paper is to present the great potential of using
artificial life methodologies to uncover and harness the inherent computational
power of physical substrates toward applications in unconventional
high-performance computing.
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