The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
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Risto Miikkulainen | Christoph Adami | Marc Parizeau | Kenneth O. Stanley | Peter J. Bentley | Charles Ofria | William F. Punch | Robert T. Pennock | Hod Lipson | Westley Weimer | Stephanie Forrest | Antoine Cully | Stéphane Doncieux | Antoine Frénoy | François Taddei | Anh Nguyen | Frank Hutter | Jeff Clune | Richard E. Lenski | Joel Lehman | Laura M. Grabowski | Danesh Tarapore | Babak Hodjat | Kai Olav Ellefsen | Guillaume Beslon | David P. Parsons | Carole Knibbe | Richard Watson | Laurent Keller | Robert Feldt | Patryk Chrabaszcz | Karl Sims | Simon Thibault | David M. Bryson | Fred C. Dyer | Robert MacCurdy | Jean-Baptiste Mouret | Marc Schoenauer | Christian Gagné | Peter Krcah | David E. Moriarty | Samuel Bernard | Nick Cheney | Thomas S. Ray | Carlos Maestre | Dusan Misevic | Lee Altenberg | Julie Beaulieu | Stephan Fischer | Leni K. Le Goff | Sara Mitri | Eric Shulte | Jason Yosinksi | L. Altenberg | J. Clune | F. Hutter | Anh M Nguyen | M. Parizeau | Westley Weimer | Jean-Baptiste Mouret | C. Ofria | K. Sims | R. Miikkulainen | Antoine Cully | R. Watson | C. Adami | J. Lehman | R. Lenski | H. Lipson | S. Doncieux | S. Forrest | Marc Schoenauer | P. Bentley | Nick Cheney | D. Misevic | Julie Beaulieu | Samuel Bernard | G. Beslon | P. Chrabaszcz | F. Dyer | R. Feldt | Stephan Fischer | Antoine Frénoy | Christian Gagné | L. L. Goff | L. Grabowski | B. Hodjat | L. Keller | C. Knibbe | Peter Krcah | R. MacCurdy | Carlos Maestre | Sara Mitri | W. Punch | T. Ray | E. Shulte | F. Taddei | Danesh Tarapore | S. Thibault | Jason Yosinksi | Karl Sims | D. E. Moriarty | K. Ellefsen | R. Maccurdy | Charles Ofria | Anh Totti Nguyen
[1] N. Pierce. Origin of Species , 1914, Nature.
[2] A. Church. An Unsolvable Problem of Elementary Number Theory , 1936 .
[3] A. Turing. On Computable Numbers, with an Application to the Entscheidungsproblem. , 1937 .
[4] C. Waddington. Canalization of Development and the Inheritance of Acquired Characters , 1942, Nature.
[5] Alfred Korzybski,et al. Science and sanity : an introduction to non-aristotelian systems and general semantics / Alfred Korzybski , 1942 .
[6] I. Schmalhausen. Factors of evolution : the theory of stabilizing selection , 1946 .
[7] T. Eisner,et al. Biochemistry at 100�C: Explosive Secretory Discharge of Bombardier Beetles (Brachinus) , 1969, Science.
[8] Ingo Rechenberg,et al. Evolutionsstrategie : Optimierung technischer Systeme nach Prinzipien der biologischen Evolution , 1973 .
[9] T. Dobzhansky. Chance and Creativity in Evolution , 1974 .
[10] Donald T. Campbell,et al. Assessing the Impact of Planned Social Change* , 2010, Journal of MultiDisciplinary Evaluation.
[11] M. Kimura,et al. The neutral theory of molecular evolution. , 1983, Scientific American.
[12] S. Gould,et al. Exaptation—a Missing Term in the Science of Form , 1982, Paleobiology.
[13] M. Kimura. The Neutral Theory of Molecular Evolution: Introduction , 1983 .
[14] C. Goodhart. Problems of Monetary Management: The UK Experience , 1984 .
[15] V. Braitenberg. Vehicles, Experiments in Synthetic Psychology , 1984 .
[16] Yosaku Nishiwaki,et al. Natural selection and adaptation , 1985 .
[17] J. Endler. Frequency-dependent predation, crypsis and aposematic coloration. , 1988, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.
[18] P. Schuster,et al. Stationary mutant distributions and evolutionary optimization. , 1988, Bulletin of mathematical biology.
[19] John R. Koza,et al. A Hierarchical Approach to Learning the Boolean Multiplexer Function , 1990, FOGA.
[20] Christopher G. Langton,et al. Computation at the edge of chaos: Phase transitions and emergent computation , 1990 .
[21] J. Drake. A constant rate of spontaneous mutation in DNA-based microbes. , 1991, Proceedings of the National Academy of Sciences of the United States of America.
[22] Donald C. O'Shea. Monochromatic quartet: a search for the global optimum , 1991, Other Conferences.
[23] E. Wilson. The Diversity of Life , 1992 .
[24] John R. Koza,et al. Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.
[25] Thomas S. Ray,et al. An Evolutionary Approach to Synthetic Biology: Zen and the Art of Creating Life , 1993, Artificial Life.
[26] Karl Sims,et al. Evolving virtual creatures , 1994, SIGGRAPH.
[27] P. Vandersmagt. Simderella: A robot simulator for neuro-controller design , 1994 .
[28] Karl Sims,et al. Evolving 3D Morphology and Behavior by Competition , 1994, Artificial Life.
[29] L. Altenberg. The evolution of evolvability in genetic programming , 1994 .
[30] Patrick van der Smagt,et al. Simderella: a robot simulator for neuro-controller design , 1994 .
[31] Christopher G. Langton,et al. Artificial Life , 2019, Philosophical Posthumanism.
[32] D. Hull. Universal Darwinism , 1995, Nature.
[33] Risto Miikkulainen,et al. Discovering Complex Othello Strategies Through Evolutionary Neural Networks , 1995 .
[34] D. Dennett. Darwin's Dangerous Idea , 1995 .
[35] Peter John Bentley,et al. Generic evolutionary design of solid objects using a genetic algorithm , 2007 .
[36] Risto Miikkulainen,et al. Evolving Obstacle Avoidance Behavior in a Robot Arm , 1996 .
[37] Adrian Thompson,et al. An Evolved Circuit, Intrinsic in Silicon, Entwined with Physics , 1996, ICES.
[38] P. Nordin,et al. Explicitly defined introns and destructive crossover in genetic programming , 1996 .
[39] D. Deutsch. The fabric of reality , 1997, The Art of Political Storytelling.
[40] F. Arnold,et al. Combinatorial protein design: strategies for screening protein libraries. , 1997, Current opinion in structural biology.
[41] M. Bedau. Weak Emergence * , 1997 .
[42] Risto Miikkulainen,et al. Forming Neural Networks Through Efficient and Adaptive Coevolution , 1997, Evolutionary Computation.
[43] Riccardo Poli,et al. Fitness Causes Bloat , 1998 .
[44] A. Fire,et al. Potent and specific genetic interference by double-stranded RNA in Caenorhabditis elegans , 1998, Nature.
[45] F. Arnold. Design by Directed Evolution , 1998 .
[46] Gary William Flake,et al. The Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Complex Systems and Adaptation , 1998 .
[47] John H. Holland,et al. Emergence. , 1997, Philosophica.
[48] Get A Life , 1998, Science.
[49] Robert Feldt,et al. Generating diverse software versions with genetic programming: and experimental study , 1998, IEE Proc. Softw..
[50] M. Huynen,et al. Neutral evolution of mutational robustness. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[51] Jordan B. Pollack,et al. Embodied evolution: embodying an evolutionary algorithm in a population of robots , 1999, Proceedings of the 1999 Congress on Evolutionary Computation-CEC99 (Cat. No. 99TH8406).
[52] E. Bornberg-Bauer,et al. Modeling evolutionary landscapes: mutational stability, topology, and superfunnels in sequence space. , 1999, Proceedings of the National Academy of Sciences of the United States of America.
[53] Marc Schoenauer,et al. Evolutionary Algorithms as Fittness Function Debuggers , 1999, ISMIS.
[54] R. Feldt. Genetic Programming as an Explorative Tool in Early Software Development Phases , 1999 .
[55] C. Schmidt-Dannert,et al. Directed evolution of industrial enzymes. , 1999, Trends in biotechnology.
[56] Peter J. Bentley. Is evolution creative , 1999 .
[57] C. Ofria,et al. Genome complexity, robustness and genetic interactions in digital organisms , 1999, Nature.
[58] M. Madigan. Bacterial Habitats in Extreme Environments , 2000 .
[59] William B. Langdon,et al. Quadratic Bloat in Genetic Programming , 2000, GECCO.
[60] C. Adami,et al. Evolution of Biological Complexity , 2000, Proc. Natl. Acad. Sci. USA.
[61] Robert T. Pennock. Can Darwinian Mechanisms Make Novel Discoveries?: Learning from discoveries made by evolving neural networks , 2000 .
[62] D. Schluter,et al. The Ecology of Adaptive Radiation , 2000 .
[63] E. Koonin,et al. Genome of the Extremely Radiation-Resistant Bacterium Deinococcus radiodurans Viewed from the Perspective of Comparative Genomics , 2001, Microbiology and Molecular Biology Reviews.
[64] C. Ofria,et al. Evolution of digital organisms at high mutation rates leads to survival of the flattest , 2001, Nature.
[65] Hideyuki Takagi,et al. Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.
[66] Jordan B. Pollack,et al. Embodied Evolution: Distributing an evolutionary algorithm in a population of robots , 2002, Robotics Auton. Syst..
[67] M. Pagel. Encyclopedia of evolution , 2002 .
[68] J. Launer. Darwin's dangerous idea. , 2002, QJM : monthly journal of the Association of Physicians.
[69] Robert Feldt. Biomimetic Software Engineering Techniques for Dependability , 2002 .
[70] G. Yedid,et al. Macroevolution simulated with autonomously replicating computer programs , 2002, Nature.
[71] Robert T. Pennock,et al. The evolutionary origin of complex , 2003 .
[72] M. Bedau. Artificial life: organization, adaptation and complexity from the bottom up , 2003, Trends in Cognitive Sciences.
[73] Robert T. Pennock,et al. The evolutionary origin of complex features , 2003, Nature.
[74] N. Lau,et al. Censors of the genome. , 2003, Scientific American.
[75] M. Kundrát. When did theropods become feathered?--evidence for pre-Archaeopteryx feathery appendages. , 2004, Journal of experimental zoology. Part B, Molecular and developmental evolution.
[76] Charles Ofria,et al. Avida , 2004, Artificial Life.
[77] K. Foster,et al. Pleiotropy as a mechanism to stabilize cooperation , 2004, Nature.
[78] M. Eigen. Selforganization of matter and the evolution of biological macromolecules , 1971, Naturwissenschaften.
[79] C. Ofria,et al. Adaptive Radiation from Resource Competition in Digital Organisms , 2004, Science.
[80] Risto Miikkulainen,et al. Real-time neuroevolution in the NERO video game , 2005, IEEE Transactions on Evolutionary Computation.
[81] C. Ofria,et al. Sexual reproduction reshapes the genetic architecture of digital organisms , 2006, Proceedings of the Royal Society B: Biological Sciences.
[82] U. Alon,et al. Spontaneous evolution of modularity and network motifs. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[83] Sean Luke,et al. A Comparison of Bloat Control Methods for Genetic Programming , 2006, Evolutionary Computation.
[84] Jeffrey E. Barrick,et al. Balancing Robustness and Evolvability , 2006, PLoS biology.
[85] C. Adami. Digital genetics: unravelling the genetic basis of evolution , 2006, Nature Reviews Genetics.
[86] G. Wagner,et al. The road to modularity , 2007, Nature Reviews Genetics.
[87] Kenneth DeJong. Evolutionary computation: a unified approach , 2007, GECCO.
[88] D. Floreano,et al. Evolutionary Conditions for the Emergence of Communication in Robots , 2007, Current Biology.
[89] Dan S. Tawfik,et al. Protein engineers turned evolutionists , 2007, Nature Methods.
[90] Colin R. Reeves,et al. Evolutionary computation: a unified approach , 2007, Genetic Programming and Evolvable Machines.
[91] Uri Alon,et al. Varying environments can speed up evolution , 2007, Proceedings of the National Academy of Sciences.
[92] G. Beslon,et al. A long-term evolutionary pressure on the amount of noncoding DNA. , 2007, Molecular biology and evolution.
[93] Robert T. Pennock. Models, simulations, instantiations, and evidence: the case of digital evolution , 2007, J. Exp. Theor. Artif. Intell..
[94] Marc Parizeau,et al. Human-competitive lens system design with evolution strategies , 2008, Appl. Soft Comput..
[95] Peter Krcah,et al. Towards Efficient Evolutionary Design of Autonomous Robots , 2008, ICES.
[96] Ernesto Costa,et al. Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories , 2009, Genetic Programming and Evolvable Machines.
[97] Dario Floreano,et al. Evolutionary Advantages of Neuromodulated Plasticity in Dynamic, Reward-based Scenarios , 2008, ALIFE.
[98] J. Clune,et al. Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes , 2008, PLoS computational biology.
[99] Charles Ofria,et al. Cockroaches, drunkards, and climbers: Modeling the evolution of simple movement strategies using digital organisms , 2009, 2009 IEEE Symposium on Artificial Life.
[100] Sam P. Brown,et al. Horizontal Gene Transfer of the Secretome Drives the Evolution of Bacterial Cooperation and Virulence , 2009, Current Biology.
[101] Chapter 3 Invasion of the Body Snatchers , 2009 .
[102] Claire Le Goues,et al. A genetic programming approach to automated software repair , 2009, GECCO.
[103] D. Floreano,et al. The evolution of information suppression in communicating robots with conflicting interests , 2009, Proceedings of the National Academy of Sciences.
[104] Leslie G. Valiant,et al. Evolvability , 2009, JACM.
[105] T. Lefèvre,et al. Invasion of the body snatchers: the diversity and evolution of manipulative strategies in host-parasite interactions. , 2009, Advances in parasitology.
[106] A. E. Eiben,et al. On-Line, On-Board Evolution of Robot Controllers , 2009, Artificial Evolution.
[107] Westley Weimer,et al. Automated program repair through the evolution of assembly code , 2010, ASE.
[108] Carol E. Cleland,et al. The Nature of Life: Classical and Contemporary Perspectives from Philosophy and Science , 2010 .
[109] Kenneth O. Stanley,et al. Abandoning Objectives: Evolution Through the Search for Novelty Alone , 2011, Evolutionary Computation.
[110] Kenneth O. Stanley,et al. Improving evolvability through novelty search and self-adaptation , 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).
[111] Kenneth O. Stanley,et al. Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space , 2011, Evolutionary Computation.
[112] Riccardo Poli,et al. Neutrality in evolutionary algorithms… What do we know? , 2011, Evol. Syst..
[113] Antoine Frénoy,et al. Robustness and evolvability of cooperation , 2012, ALIFE.
[114] G. Beslon,et al. New insights into bacterial adaptation through in vivo and in silico experimental evolution , 2012, Nature Reviews Microbiology.
[115] M. Runco,et al. The Standard Definition of Creativity , 2012 .
[116] Antoine Frénoy,et al. Effects of public good properties on the evolution of cooperation , 2012, ALIFE.
[117] C. Ofria,et al. Task-switching costs promote the evolution of division of labor and shifts in individuality , 2012, Proceedings of the National Academy of Sciences.
[118] N. Roese,et al. Hindsight Bias , 2012 .
[119] Yuanyuan Zhang,et al. Search-based software engineering: Trends, techniques and applications , 2012, CSUR.
[120] Arthur W. Covert,et al. Experiments on the role of deleterious mutations as stepping stones in adaptive evolution , 2013, Proceedings of the National Academy of Sciences.
[121] Una-May O'Reilly,et al. EC-Star: A Massive-Scale, Hub and Spoke, Distributed Genetic Programming System , 2013 .
[122] Robert T. Pennock,et al. A Case Study of the De Novo Evolution of a Complex Odometric Behavior in Digital Organisms , 2013, PloS one.
[123] Westley Weimer,et al. Advances in Automated Program Repair and a Call to Arms , 2013, SSBSE.
[124] Hod Lipson,et al. Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding , 2013, GECCO '13.
[125] Antoine Frénoy,et al. Genetic Architecture Promotes the Evolution and Maintenance of Cooperation , 2013, PLoS Comput. Biol..
[126] Hod Lipson,et al. The evolutionary origins of modularity , 2012, Proceedings of the Royal Society B: Biological Sciences.
[127] Christian Rosenmund,et al. Ultrafast endocytosis at mouse hippocampal synapses , 2013, Nature.
[128] Samuel Bernard,et al. A Model for Genome Size Evolution , 2014, Bulletin of Mathematical Biology.
[129] Nick Bostrom,et al. Superintelligence: Paths, Dangers, Strategies , 2014 .
[130] Antoine Cully,et al. Robots that can adapt like animals , 2014, Nature.
[131] Jean-Baptiste Mouret,et al. Illuminating search spaces by mapping elites , 2015, ArXiv.
[132] Jean-Baptiste Mouret,et al. Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills , 2015, PLoS Comput. Biol..
[133] Kenneth O. Stanley,et al. Investigating Biological Assumptions through Radical Reimplementation , 2015, Artificial Life.
[134] Shane Legg,et al. Human-level control through deep reinforcement learning , 2015, Nature.
[135] Michael G Schöner,et al. Bats Are Acoustically Attracted to Mutualistic Carnivorous Plants , 2015, Current Biology.
[136] P. Ecarlat,et al. Learning a high diversity of object manipulations though an evolutionary-based babbling , 2015 .
[137] A Nguyen,et al. Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning , 2016, Evolutionary Computation.
[138] Sebastian Risi,et al. WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web , 2016, Artificial Life.
[139] Alex Graves,et al. Asynchronous Methods for Deep Reinforcement Learning , 2016, ICML.
[140] K. Last,et al. Moonlight Drives Ocean-Scale Mass Vertical Migration of Zooplankton during the Arctic Winter , 2016, Current Biology.
[141] Richard McElreath,et al. The natural selection of bad science , 2016, Royal Society Open Science.
[142] Marcus Hutter,et al. Avoiding Wireheading with Value Reinforcement Learning , 2016, AGI.
[143] G. Wagner,et al. Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes , 2016, 1612.05955.
[144] John Schulman,et al. Concrete Problems in AI Safety , 2016, ArXiv.
[145] Xi Chen,et al. Evolution Strategies as a Scalable Alternative to Reinforcement Learning , 2017, ArXiv.
[146] Kenneth O. Stanley,et al. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning , 2017, ArXiv.
[147] Markus Brede,et al. How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation , 2017, PLoS Comput. Biol..
[148] Frank Hutter,et al. Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari , 2018, IJCAI.
[149] Marcus Hutter,et al. AGI Safety Literature Review , 2018, IJCAI.
[150] Laurent Orseau,et al. Measuring and avoiding side effects using relative reachability , 2018, ArXiv.
[151] J. Clune,et al. The Surprising Creativity of Digital Evolution , 2018, ALIFE.
[152] Joel Lehman,et al. Evolutionary Computation and AI Safety: Research Problems Impeding Routine and Safe Real-world Application of Evolution , 2019, GPTP.
[153] Jessica Taylor,et al. Alignment for Advanced Machine Learning Systems , 2020, Ethics of Artificial Intelligence.