The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
出版年份 2020 全文链接
标题
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
作者
关键词
-
出版物
ARTIFICIAL LIFE
Volume -, Issue -, Pages 1-33
出版商
MIT Press - Journals
发表日期
2020-04-10
DOI
10.1162/artl_a_00319
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation
- (2017) Kostas Kouvaris et al. PLoS Computational Biology
- WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web
- (2016) Tim Taylor et al. ARTIFICIAL LIFE
- Moonlight Drives Ocean-Scale Mass Vertical Migration of Zooplankton during the Arctic Winter
- (2016) Kim S. Last et al. CURRENT BIOLOGY
- The natural selection of bad science
- (2016) Paul E. Smaldino et al. Royal Society Open Science
- Investigating Biological Assumptions through Radical Reimplementation
- (2015) Joel Lehman et al. ARTIFICIAL LIFE
- Bats Are Acoustically Attracted to Mutualistic Carnivorous Plants
- (2015) Michael G. Schöner et al. CURRENT BIOLOGY
- Robots that can adapt like animals
- (2015) Antoine Cully et al. NATURE
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills
- (2015) Kai Olav Ellefsen et al. PLoS Computational Biology
- A Model for Genome Size Evolution
- (2014) Stephan Fischer et al. BULLETIN OF MATHEMATICAL BIOLOGY
- Ultrafast endocytosis at mouse hippocampal synapses
- (2013) Shigeki Watanabe et al. NATURE
- A Case Study of the De Novo Evolution of a Complex Odometric Behavior in Digital Organisms
- (2013) Laura M. Grabowski et al. PLoS One
- Experiments on the role of deleterious mutations as stepping stones in adaptive evolution
- (2013) Arthur W. Covert et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The evolutionary origins of modularity
- (2013) J. Clune et al. PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Genetic Architecture Promotes the Evolution and Maintenance of Cooperation
- (2013) Antoine Frénoy et al. PLoS Computational Biology
- New insights into bacterial adaptation through in vivo and in silico experimental evolution
- (2012) Thomas Hindré et al. NATURE REVIEWS MICROBIOLOGY
- Task-switching costs promote the evolution of division of labor and shifts in individuality
- (2012) H. J. Goldsby et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space
- (2010) Jimmy Secretan et al. EVOLUTIONARY COMPUTATION
- Abandoning Objectives: Evolution Through the Search for Novelty Alone
- (2010) Joel Lehman et al. EVOLUTIONARY COMPUTATION
- Horizontal Gene Transfer of the Secretome Drives the Evolution of Bacterial Cooperation and Virulence
- (2009) Teresa Nogueira et al. CURRENT BIOLOGY
- Dynamic limits for bloat control in genetic programming and a review of past and current bloat theories
- (2009) Sara Silva et al. Genetic Programming and Evolvable Machines
- The evolution of information suppression in communicating robots with conflicting interests
- (2009) S. Mitri et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes
- (2008) Jeff Clune et al. PLoS Computational Biology
- Human-competitive lens system design with evolution strategies
- (2007) Christian Gagné et al. APPLIED SOFT COMPUTING
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