most citedSelf-referencing cellular automata: A model of the evolution of information control in biological systems

12 citations · 17 across the 3 of their papers we have counts for

collaborators

5 papers

physics.bio-ph2024

An Open-Ended Approach to Understanding Local, Emergent Conservation Laws in Biological Evolution

Alyssa M Adams, Eliott Jacopin, Praful Gagrani +1

While fields like Artificial Life have made huge strides in quantifying the mechanisms that distinguish living systems from non-living ones, particular mechanisms remain difficult…

q-bio.PE20236 cited

What it takes to solve the Origin(s) of Life: An integrated review of techniques

OoLEN, Silke Asche, Carla Bautista +35

Understanding the origin(s) of life (OoL) is a fundamental challenge for science in the 21st century. Research on OoL spans many disciplines, including chemistry, physics, biology,…

cs.NE2016

Formal Definitions of Unbounded Evolution and Innovation Reveal Universal Mechanisms for Open-Ended Evolution in Dynamical Systems

Alyssa M Adams, Hector Zenil, Paul CW Davies +1

Open-ended evolution (OEE) is relevant to a variety of biological, artificial and technological systems, but has been challenging to reproduce in silico. Most theoretical efforts f…

astro-ph.SR20145 cited

Evidence of a Mira-like tail and bow shock about the semi-regular variable V CVn from four decades of polarization measurements

Hilding R. Neilson, Richard Ignace, Beverly J. Smith +2

Polarization is a powerful tool for understanding stellar atmospheres and circumstellar environments. Mira and semi-regular variable stars have been observed for decades and some a…

nlin.CG201412 cited

Self-referencing cellular automata: A model of the evolution of information control in biological systems

Theodore P. Pavlic, Alyssa M. Adams, Paul C. W. Davies +1

Cellular automata have been useful artificial models for exploring how relatively simple rules combined with spatial memory can give rise to complex emergent patterns. Moreover, st…