Literature DB >> 32271631

The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities.

Joel Lehman1, Jeff Clune2, Dusan Misevic3, Christoph Adami4, Lee Altenberg5, Julie Beaulieu6, Peter J Bentley7, Samuel Bernard8, Guillaume Beslon9, David M Bryson4, Nick Cheney10, Patryk Chrabaszcz11, Antoine Cully12, Stephane Doncieux13, Fred C Dyer4, Kai Olav Ellefsen14, Robert Feldt15, Stephan Fischer16, Stephanie Forrest17, Antoine Fŕenoy18, Christian Gagńe6, Leni Le Goff13, Laura M Grabowski19, Babak Hodjat20, Frank Hutter10, Laurent Keller21, Carole Knibbe9, Peter Krcah22, Richard E Lenski4, Hod Lipson23, Robert MacCurdy24, Carlos Maestre13, Risto Miikkulainen25, Sara Mitri21, David E Moriarty26, Jean-Baptiste Mouret27, Anh Nguyen28, Charles Ofria4, Marc Parizeau6, David Parsons4, Robert T Pennock4, William F Punch4, Thomas S Ray29, Marc Schoenauer30, Eric Schulte31, Karl Sims32, Kenneth O Stanley33, François Taddei34, Danesh Tarapore35, Simon Thibault6, Richard Watson35, Westley Weimer36, Jason Yosinski32.   

Abstract

Evolution provides a creative fount of complex and subtle adaptations that often surprise the scientists who discover them. However, the creativity of evolution is not limited to the natural world: Artificial organisms evolving in computational environments have also elicited surprise and wonder from the researchers studying them. The process of evolution is an algorithmic process that transcends the substrate in which it occurs. Indeed, many researchers in the field of digital evolution can provide examples of how their evolving algorithms and organisms have creatively subverted their expectations or intentions, exposed unrecognized bugs in their code, produced unexpectedly adaptations, or engaged in behaviors and outcomes, uncannily convergent with ones found in nature. Such stories routinely reveal surprise and creativity by evolution in these digital worlds, but they rarely fit into the standard scientific narrative. Instead they are often treated as mere obstacles to be overcome, rather than results that warrant study in their own right. Bugs are fixed, experiments are refocused, and one-off surprises are collapsed into a single data point. The stories themselves are traded among researchers through oral tradition, but that mode of information transmission is inefficient and prone to error and outright loss. Moreover, the fact that these stories tend to be shared only among practitioners means that many natural scientists do not realize how interesting and lifelike digital organisms are and how natural their evolution can be. To our knowledge, no collection of such anecdotes has been published before. This article is the crowd-sourced product of researchers in the fields of artificial life and evolutionary computation who have provided first-hand accounts of such cases. It thus serves as a written, fact-checked collection of scientifically important and even entertaining stories. In doing so we also present here substantial evidence that the existence and importance of evolutionary surprises extends beyond the natural world, and may indeed be a universal property of all complex evolving systems.

Keywords:  Surprise; creativity; digital evolution; evolutionary computation; experimental evolution; genetic algorithms

Mesh:

Year:  2020        PMID: 32271631     DOI: 10.1162/artl_a_00319

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  12 in total

1.  Evolution of Bacterial Persistence to Antibiotics during a 50,000-Generation Experiment in an Antibiotic-Free Environment.

Authors:  Hugo Mathé-Hubert; Rafika Amia; Mikaël Martin; Joël Gaffé; Dominique Schneider
Journal:  Antibiotics (Basel)       Date:  2022-03-27

2.  The future of AI in critical care is augmented, not artificial, intelligence.

Authors:  Vincent X Liu
Journal:  Crit Care       Date:  2020-12-02       Impact factor: 9.097

3.  Emergence of Organisms.

Authors:  Andrea Roli; Stuart A Kauffman
Journal:  Entropy (Basel)       Date:  2020-10-16       Impact factor: 2.524

4.  Morphological Evolution: Bioinspired Methods for Analyzing Bioinspired Robots.

Authors:  Eric Aaron; Joshua Hawthorne-Madell; Ken Livingston; John H Long
Journal:  Front Robot AI       Date:  2022-01-14

5.  Explaining and avoiding failure modes in goal-directed generation of small molecules.

Authors:  Maxime Langevin; Rodolphe Vuilleumier; Marc Bianciotto
Journal:  J Cheminform       Date:  2022-04-01       Impact factor: 5.514

6.  Evolution of innate behavioral strategies through competitive population dynamics.

Authors:  Tong Liang; Braden A W Brinkman
Journal:  PLoS Comput Biol       Date:  2022-03-14       Impact factor: 4.475

7.  Editorial: Evolving Robotic Morphologies.

Authors:  David Howard; Kyrre Glette; Nick Cheney
Journal:  Front Robot AI       Date:  2022-04-14

Review 8.  Synthetic living machines: A new window on life.

Authors:  Mo R Ebrahimkhani; Michael Levin
Journal:  iScience       Date:  2021-05-04

9.  EMERGE Modular Robot: A Tool for Fast Deployment of Evolved Robots.

Authors:  Rodrigo Moreno; Andres Faiña
Journal:  Front Robot AI       Date:  2021-07-05

10.  ChemOS: An orchestration software to democratize autonomous discovery.

Authors:  Loïc M Roch; Florian Häse; Christoph Kreisbeck; Teresa Tamayo-Mendoza; Lars P E Yunker; Jason E Hein; Alán Aspuru-Guzik
Journal:  PLoS One       Date:  2020-04-16       Impact factor: 3.240

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