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Biological evolution provides a creative fount of complex and subtle adaptations, often surprising the scientists who discover them.
Bats are acoustically attracted to mutualistic carnivorous plants
Schöner MG, Schöner CR, Simon R, Grafe TU, Puechmaille SJ, Ji LL, et al · 1916
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On computable numbers, with an application to the Entscheidungsproblem
Turing AM · 1936
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Asynchronous methods for deep reinforcement learning
Mnih V, Badia AP, Mirza M, Graves A, Lillicrap T, Harley T, et al · 1937
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Canalization of development and the inheritance of acquired characters
Waddington CH · 1942
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Factors of Evolution: The Theory of Stabilizing Selection
Schmalhausen II · 1949
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Science and sanity: An introduction to non-Aristotelian systems and general semantics
Korzybski A · 1958
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Biochemistry at 1000C: Explosive secretory discharge of bombardier beetles (Brachinus)
Strahs G · 1969
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Self-organization of matter and the evolution of biological macromolecules
Eigen M · 1971
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Evolutionsstrategie–Optimierung technisher Systeme nach Prinzipien der biologischen Evolution
Rechenberg I · 1973
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Chance and creativity in evolution
Dobzhansky T · 1974
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Assessing the impact of planned social change
Campbell DT · 1979
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Exaptation—a missing term in the science of form
Gould SJ, Vrba ES · 1982
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Universal Darwinism
Dawkins R · 1983
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The neutral theory of molecular evolution
Kimura M · 1983
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Problems of monetary management: The UK experience
Goodhart CA · 1984
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The blind watchmaker: Why the evidence of evolution reveals a universe Without design
Dawkins R · 1986
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Vehicles: Experiments in synthetic psychology
Braitenberg V · 1986
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Frequency-dependent predation, crypsis and aposematic coloration
Endler JA, Greenwood JJD · 1988
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Stationary mutant distributions and evolutionary optimization
Schuster P, Swetina J · 1988
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Computation at the edge of chaos: phase transitions and emergent computation
Langton CG · 1990
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A hierarchical approach to learning the Boolean multiplexer function
Koza JR · 1990
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Monochromatic quartet: A search for the global optimum
O’shea DC · 1991
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A constant rate of spontaneous mutation in DNA-based microbes
Drake JW · 1991
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Genetic programming: On the programming of computers by means of natural selection. vol. 1
Koza JR · 1992
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J’ai joué á Dieu et créé la vie dans mon ordinateur
Ray T · 1992
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An evolutionary approach to synthetic biology: Zen and the art of creating life
Ray TS · 1993
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Evolving 3D morphology and behavior by competition
Sims K · 1994
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Evolving virtual creatures
Sims K · 1994
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Simderella: A robot simulator for neuro-controller design
van der Smagt P · 1994
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The evolution of evolvability in genetic programming
Altenberg L · 1994
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Discovering complex Othello strategies through evolutionary neural networks
Moriarty DE, Miikkulainen R · 1995
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Evolving obstacle avoidance behavior in a robot arm
Moriarty DE, Miikkulainen R · 1996
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An evolved circuit, intrinsic in silicon, entwined with physics
Thompson A · 1996
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Generic evolutionary design of solid objects using a genetic algorithm
Bentley PJ · 1996
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Explicitly Defined Introns and Destructive Crossover in Genetic Programming
Nordin P, Francone F, Banzhaf W · 1996
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Artificial life: An overview
Langton CG · 1997
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Weak emergence
Bedau MA · 1997
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Forming neural networks through efficient and adaptive co-evolution
Moriarty DE, Miikkulainen R · 1997
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Combinatorial protein design: Strategies for screening protein libraries
Zhao H, Arnold FH · 1997
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Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans
Fire A, Xu S, Montgomery MK, Kostas SA, Driver SE, Mello CC · 1998
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Evolvability
Kirschner M, Gerhart J · 1998
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Get A Life
Lenski RE · 1998
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The computational beauty of nature: Computer explorations of fractals, chaos, complex systems, and adaptation
Flake GW · 1998
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The fabric of reality
Deutsch D · 1998
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Generating diverse software versions with genetic programming: An experimental study
Feldt R · 1998
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Fitness causes bloat
Langdon WB, Poli R · 1998
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Design by directed evolution
Arnold FH · 1998
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Is evolution creative?
Bentley PJ · 1999
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Evolutionary algorithms as fitness function debuggers
Mansanne F, Carrere F, Ehinger A, Schoenauer M · 1999
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The diversity of life
Wilson EO · 1999
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Genome complexity, robustness and genetic interactions in digital organisms
Lenski RE, Ofria C, Collier TC, Adami C · 1999
Cited alongside, same era.
Genetic programming as an explorative tool in early software development phases
Feldt R · 1999
Cited alongside, same era.
Embodied evolution: Embodying an evolutionary algorithm in a population of robots
Watson RA, Ficiei S, Pollack JB · 1999
Cited alongside, same era.
Neutral Evolution of Mutational Robustness
Nimwegen E, Crutchfield JP, Huynen M · 1999
Cited alongside, same era.
Modeling evolutionary landscapes: mutational stability, topology, and superfunnels in sequence space
Bornberg-Bauer E, Chan HS · 1999
Cited alongside, same era.
Directed evolution of industrial enzymes
Schmidt-Dannert C, Arnold FH · 1999
Cited alongside, same era.
Horizontal gene transfer of the secretome drives the evolution of bacterial cooperation and virulence
Nogueira T, Rankin DJ, Touchon M, Taddei F, Brown SP, Rocha EP · 2009
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Automated program repair through the evolution of assembly code
Schulte E, Forrest S, Weimer W · 2010
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Picbreeder: A case study in collaborative evolutionary exploration of design space
Secretan J, Beato N, D’Ambrosio DB, Rodriguez A, Campbell A, Folsom-Kovarik JT, et al · 2011
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Abandoning objectives: Evolution through the search for novelty alone
Lehman J, Stanley KO · 2011
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Neutrality in evolutionary algorithms… What do we know?
Galván-López E, Poli R, Kattan A, O’Neill M, Brabazon A · 2011
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Improving evolvability through novelty search and self-adaptation
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Bacterial habitats in extreme environments
Madigan MT · 2000
Cited alongside, same era.
Can Darwinian mechanisms make novel discoveries?: Learning from discoveries made by evolving neural networks
Pennock RT · 2000
Cited alongside, same era.
The ecology of adaptive radiation
Schluter D · 2000
Cited alongside, same era.
Evolution of biological complexity
Adami C, Ofria C, Collier TC · 2000
Cited alongside, same era.
Emergence: From chaos to order
Holland JH · 2000
Cited alongside, same era.
Quadratic bloat in genetic programming
Langdon WB · 2000
Cited alongside, same era.
Lehman J, Stanley KO · 2011
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The standard definition of creativity
Runco MA, Jaeger GJ · 2012
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Task-switching costs promote the evolution of division of labor and shifts in individuality
Goldsby HJ, Dornhaus A, Kerr B, Ofria C · 2012
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Hindsight bias
Roese NJ, Vohs KD · 2012
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Search-based software engineering: Trends, techniques and applications
Harman M, Mansouri SA, Zhang Y · 2012
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New insights into bacterial adaptation through in vivo and in silico experimental evolution
Hindré T, Knibbe C, Beslon G, Schneider D · 2012
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Effects of public good properties on the evolution of cooperation
Misevic D, Frénoy A, Parsons DP, Taddei F · 2012
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Robustness and evolvability of cooperation
Frénoy A, Taddei F, Misevic D · 2012
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Natural selection and adaptation
Futuyma DJ · 2013
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http://kuer.org/post/u-u-biologists-surprised-discover-ultrafast-recycling-nerve-synapses
Nelson B. University of Utah biologists surprised to discover "ultrafast recycling" at nerve synapses; 2013 · 2013
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Ultrafast endocytosis at mouse hippocampal synapses
Watanabe S, Rost BR, Camacho-Pérez M, Davis MW, Söhl-Kielczynski B, Rosenmund C, et al · 2013
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A case study of the de novo evolution of a complex odometric behavior in digital organisms
Grabowski LM, Bryson DM, Dyer FC, Pennock RT, Ofria C · 2013
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The evolutionary origins of modularity
Clune J, Mouret JB, Lipson H · 2013
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Experiments on the role of deleterious mutations as stepping stones in adaptive evolution
Covert AW, Lenski RE, Wilke CO, Ofria C · 2013
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Advances in Automated Program Repair and a Call to Arms
Weimer W · 2013
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Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding
Cheney N, MacCurdy R, Clune J, Lipson H · 2013
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Ec-star: A massive-scale, hub and spoke, distributed genetic programming system
O’Reilly UM, Wagy M, Hodjat B · 2013
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Genetic architecture promotes the evolution and maintenance of cooperation
Frénoy A, Taddei F, Misevic D · 2013
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Darwin’s dangerous idea
Dennett DC · 2014
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Investigating Biological Assumptions through Radical Reimplementation
Lehman J, Stanley KO · 2014
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A model for genome size evolution
Fischer S, Bernard S, Beslon G, Knibbe C · 2014
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Superintelligence: Paths, dangers, strategies
Bostrom N · 2014
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Robots that can adapt like animals
Cully A, Clune J, Tarapore D, Mouret JB · 2015
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Neural modularity helps organisms evolve to learn new skills without forgetting old skills
Ellefsen KO, Mouret JB, Clune J · 2015
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Human-level control through deep reinforcement learning
Mnih V, Kavukcuoglu K, Silver D, Rusu AA, Veness J, Bellemare MG, et al · 2015
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Learning a high diversity of object manipulations through an evolutionary-based babbling
Ecarlat P, Cully A, Maestre C, Doncieux S · 2015
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Illuminating search spaces by mapping elites
Mouret JB, Clune J · 2015
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https://www.eurekalert.org/pub_releases/2016-01/cp-iaw123015.php
Press Release. In Arctic winter, marine creatures migrate by the light of the moon; 2016 · 2016
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Moonlight drives ocean-scale mass vertical migration of zooplankton during the Arctic winter
Last KS, Hobbs L, Berge J, Brierley AS, Cottier F · 2016
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Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes
Kounios L, Clune J, Kouvaris K, Wagner GP, Pavlicev M, Weinreich DM, et al · 2016
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Understanding innovation engines: Automated creativity and improved stochastic optimization via deep learning
Nguyen A, Yosinski J, Clune J · 2016
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Concrete problems in AI safety
Amodei D, Olah C, Steinhardt J, Christiano P, Schulman J, Mané D · 2016
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Alignment for advanced machine learning systems
Taylor J, Yudkowsky E, LaVictoire P, Critch A · 2016
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Avoiding wireheading with value reinforcement learning
Everitt T, Hutter M · 2016
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The natural selection of bad science
Smaldino PE, McElreath R · 2016
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WebAL Comes of Age: A review of the first 21 years of Artificial Life on the Web
Taylor T, Auerbach JE, Bongard J, Clune J, Hickinbotham S, Ofria C, et al · 2016
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How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
Kouvaris K, Clune J, Kounios L, Brede M, Watson RA · 2017
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Evolution strategies as a scalable alternative to reinforcement learning
Salimans T, Ho J, Chen X, Sutskever I · 2017
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Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning
Such FP, Madhavan V, Conti E, Lehman J, Stanley KO, Clune J · 2017
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Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari
Chrabaszcz P, Loshchilov I, Hutter F · 2018
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A video game-playing AI beat Q*bert in a way no one’s ever seen before
Vincent J · 2018
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AGI Safety Literature Review
Everitt T, Lea G, Hutter M · 2018
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Measuring and avoiding side effects using relative reachability
Krakovna V, Orseau L, Martic M, Legg S · 2018
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Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution
Lehman J · 2019
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