Varying environments can speed up evolution
By Nadav Kashtan, Elad Noor, Uri Alon. Proceedings of the National Academy of Sciences of the United States of America, 2007
327 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Genetics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/5dcde2981c1af8d11e00a531d1a67aeaada599cc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Olaf Sporns
- Stephen Kelly
- Malcolm I. Heywood
- Richard F. Betzel
- Carl R. Woese
- N. Goldenfeld
- Giulio Tononi
- Michael O'Neill
In Genetics
- Olaf Sporns
- Richard F. Betzel
- Carl R. Woese
- N. Goldenfeld
- Michael O'Neill
- Lee Spector
- Robert A. Edwards
- Forest Rohwer
In Sociology and Political Science
Citations in the corpus
- Life is Physics: Evolution as a Collective Phenomenon Far From Equilibrium (2010, background): “In the first, the network was evolved in an environment of goals that changed in a modular fashion[112]; moreover, a follow-up study[113] showed clearly that environmental fluctuations do indeed accelerate the rate of evolution.”
- The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities (2018, unknown): “Yet both philosophical arguments [23, 26, 27, 82, 109] and high-profile publications [2, 16, 18 – 21, 52, 59, 60, 83, 85, 86, 92, 141, 146, 148] suggest that digital evolution can be a useful tool to aid and complement the study of biological evolution.”
- Modular Brain Networks (2015, background): “Modularity has also been demonstrated to promote adaptation and increase flexibility in response to a changing environment (Kashtan & Alon 2005, Kashtan et al. 2007).”
- Emergent Tangled Graph Representations for Atari Game Playing Agents (2017, background): “In particular, switching between multiple diversity measures (in combination with fitness-based selection) has been shown to impact the development of modularity [7, 17].”