Evolution, complexity, entropy and artificial reality
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In Tierra, after the growth of shorter, faster-replicating programmes, parasites emerged, needing other programmes for reproduction.
“After the growth of shorter, faster-replicating programmes, parasites emerged, needing other programmes for reproduction.”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [313]
In Tierra, hyper-parasites and immunization mechanisms followed.
“Hyper-parasites and immunization mechanisms followed.”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [313]
In Tierra, recombination (primitive sex) emerged in response to threats, leading to social behaviour through programme cooperation.
“Recombination (primitive sex) emerged in response to threats, leading to social behaviour through programme cooperation.”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [313]
Tierra unexpectedly displayed diverse ecological interactions due to the digital selection process.
“Tierra unexpectedly displayed diverse ecological interactions due to the digital selection process.”
From Fundamental constraints to the logic of living systems (2024) · cites this paper as [313]
Cites
Darwin, C. R. (1860) · The Crayon · doi:10.2307/25528056 · Cited by 1,168 · see citing works
An Evolutionary Approach to Synthetic Biology: Zen and the Art of Creating Life
Ray, T. S. (1993) · Artificial Life · doi:10.1162/artl.1993.1.179 · Cited by 219 · see citing works
Self-citationRay, T. S. (1991) · ICGA · Cited by 46 · see citing works
Self-citationAn Evolutionary Approach to Synthetic Biology : Zen and the Art of Creating Life
(1995) · The MIT Press eBooks · doi:10.7551/mitpress/1427.003.0011 · Cited by 14 · see citing works
Artificial life II : video proceedings
Langton, C. G. (1992) · Addison-Wesley eBooks · Cited by 13 · see citing works
From Simple Rules, Complex Behavior
Brown, A. S. (2009) · Mechanical Engineering · doi:10.1115/1.2009-jul-1 · Cited by 6 · see citing works
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Sorted by citations
Langton, C. G. (1995) · Cited by 571 · see citing works
An Evolutionary Approach to Synthetic Biology: Zen and the Art of Creating Life
Ray, T. S. (1993) · Artificial Life · doi:10.1162/artl.1993.1.179 · Cited by 219 · see citing works
Self-citationUsing genetic algorithms to select architecture of a feedforward artificial neural network
Arifovic, J., & Ramazan Gençay, A. (2001) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(00)00479-9 · Cited by 171 · see citing works
Kinematic self-replication in reconfigurable organisms
Kriegman, S., Blackiston, D. J., Levin, M. G., & Bongard, J. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2112672118 · Cited by 125 · see citing works
Poulin, R. (2011) · Advances in Parasitology/Advances in parasitology · doi:10.1016/b978-0-12-385897-9.00001-x · Cited by 121 · see citing works
Solution concepts in coevolutionary algorithms
Pollack, J. B., & Ficici, S. G. (2004) · Cited by 120 · see citing works
The biology of digital organisms
Wilke, C. O., & Adami, C. (2002) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(02)02612-5 · Cited by 103 · see citing works
How many processes are responsible for phenotypic evolution?
Fusco, G. (2001) · Evolution & Development · doi:10.1046/j.1525-142x.2001.003004279.x · Cited by 97 · see citing works
Metaheuristics for the feedforward artificial neural network (ANN) architecture optimization problem
Carvalho, A. R., Ramos, F. M., & Chaves, A. A. (2010) · Neural Computing and Applications · doi:10.1007/s00521-010-0504-3 · Cited by 69 · see citing works
Evolution of complexity in RNA-like replicator systems
Takeuchi, N., & Hogeweg, P. (2008) · Biology Direct · doi:10.1186/1745-6150-3-11 · Cited by 68 · see citing works
Emergence of net-grammar in communicating agents
Hashimoto, T., & Ikegami, T. (1996) · Biosystems · doi:10.1016/0303-2647(95)01563-9 · Cited by 55 · see citing works
Microevolution in an Electronic Microcosm
Yedid, G., & Bell, G. (2001) · The American Naturalist · doi:10.1086/319928 · Cited by 50 · see citing works
Design of evolvable computer languages
Ofria, C., Adami, C., & Collier, T. C. (2002) · IEEE Transactions on Evolutionary Computation · doi:10.1109/tevc.2002.802442 · Cited by 46 · see citing works
The Quest for a Universal Theory of Life
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893 · Cited by 122 · see citing works
Virtual reality in biology: could we become virtual naturalists?
Morimoto, J., & Ponton, F. (2021) · Evolution Education and Outreach · doi:10.1186/s12052-021-00147-x · Cited by 43 · see citing works
Multilevel evolution: replicators and the evolution of diversity
Hogeweg, P. (1994) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(94)90288-7 · Cited by 36 · see citing works
Visualizing Evolutionary Activity of Genotypes
Bedau, M. A., & Brown, C. T. (1999) · Artificial Life · doi:10.1162/106454699568665 · Cited by 35 · see citing works
Fundamental constraints to the logic of living systems
Solé, R., Kempes, C. P., Corominas-Murtra, B., De Domenico, M., Kolchinsky, A., Lachmann, M., Libby, E., Saavedra, S., Smith, E., & Wolpert, D. (2024) · Interface Focus · doi:10.1098/rsfs.2024.0010 · Cited by 34 · see citing works
Learning and complexity in genetic auto-adaptive systems
Adami, C. (1995) · Physica D Nonlinear Phenomena · doi:10.1016/0167-2789(94)00157-l · Cited by 34 · see citing works
What Makes a System Complex? - An Approach to Self Organization and Emergence
Cotsaftis, M. (2009) · Understanding complex systems · doi:10.1007/978-3-642-02199-2_3 · Cited by 32 · see citing works
Adami, C. (1994) · Artificial Life · doi:10.1162/artl.1994.1.429 · Cited by 30 · see citing works
Monotonic solution concepts in coevolution
Ficici, S. G. (2005) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/1068009.1068093 · Cited by 29 · see citing works
Criticality and unpredictability in macroevolution
Soléand, R. V., & Manrubia, S. C. (1997) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.55.4500 · Cited by 27 · see citing works
Jacques Demongeot, A., Glade, N., Moreira, A., & Vial, L. (2009) · International Journal of Molecular Sciences · doi:10.3390/ijms10083420 · Cited by 27 · see citing works
Evolution of differentiated multi-threaded digital organisms
Ray, T., & Hart, J. B. (2003) · Elsevier eBooks · doi:10.1016/b978-012428765-5/50050-5 · Cited by 25 · see citing works
Self-citationInformation theory, evolutionary computation, and Dembski’s “complex specified information”
Elsberry, W. R., & Shallit, J. O. (2009) · Synthese · doi:10.1007/s11229-009-9542-8 · Cited by 23 · see citing works
Evolution of differentiated multi-threaded digital organisms
Ray, T. S., & Hart, J. B. (2003) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.1999.812972 · Cited by 22 · see citing works
Self-citationDigital Evolution for Ecology Research: A Review
Dolson, E. L., & Ofria, C. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.750779 · Cited by 21 · see citing works
Overcoming deception in evolution of cognitive behaviors
Lehman, J., & Miikkulainen, R. P. (2014) · Genetic and Evolutionary Computation Conference (GECCO) · doi:10.1145/2576768.2598300 · Cited by 18 · see citing works
Ray, T. S. (1997) · Artificial Life and Robotics · doi:10.1007/bf02471107 · Cited by 16 · see citing works
Self-citationEvolution of symbolic grammar systems
Hashimoto, T., & Ikegami, T. (1995) · Lecture notes in computer science · doi:10.1007/3-540-59496-5_345 · Cited by 16 · see citing works
Measures of evolvability in Tierra
Ray, T. S., & Xu, C. (2001) · Artificial Life and Robotics · doi:10.1007/bf02481504 · Cited by 14 · see citing works
Self-citationComplexity and Chaos - State-of-the-Art; Formulations and Measures of Complexity
Couture, M. (2007) · Defense Technical Information Center (DTIC) · Cited by 14 · see citing works
Suzuki, H. (1999) · Artificial Life · doi:10.1162/106454699568827 · Cited by 14 · see citing works
Egri-Nagy, A., & Nehaniv, C. L. (2003) · Lecture notes in computer science · doi:10.1007/978-3-540-39432-7_26 · Cited by 13 · see citing works
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.004 · Cited by 11 · see citing works
Taylor, T. (2013) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780199826162.013.044 · Cited by 10 · see citing works
Adami, C. (1994) · Artificial Life · doi:10.1162/artl.1994.1.4.429 · Cited by 10 · see citing works
Evolving Complexity in Prediction Games
Moran, N., & Pollack, J. B. (2019) · Artificial Life · doi:10.1162/artl_a_00281 · Cited by 9 · see citing works
Uncovering patterns of the evolution of genomic sequence entropy and complexity
Simões, R. P., Wolf, I. R., Correa, B. A., & Valente, G. T. (2020) · Molecular Genetics and Genomics · doi:10.1007/s00438-020-01729-y · Cited by 9 · see citing works
Macroevolution<i>in silico</i>: scales, constraints and universals
Solé, R. V., & Valverde, S. (2013) · Palaeontology · doi:10.1111/pala.12047 · Cited by 8 · see citing works
Biological Evolution: Entropy, Complexity and Stability
Chakrabarti, C. G., & Ghosh, K. (2011) · Journal of Modern Physics · doi:10.4236/jmp.2011.226072 · Cited by 8 · see citing works
Bret, M. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45016-5_12 · Cited by 8 · see citing works
Investigating Biological Assumptions through Radical Reimplementation
Lehman, J., & Stanley, K. O. (2014) · Artificial Life · doi:10.1162/artl_a_00150 · Cited by 7 · see citing works
John von Neumann's self-replicating machine — Critical components required
Ellery, A. A. (2016) · Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics · doi:10.1109/smc.2016.7844259 · Cited by 7 · see citing works
Darwin's log: a toy model of speciation and extinction
Aldous, D. (1995) · Journal of Applied Probability · doi:10.1017/s0021900200102785 · Cited by 7 · see citing works
The expansion of information in ecological systems: Emergence as a quantifiable state
Marsh, A. G., Zeng, Y., & Garcia‐Frias, J. (2005) · Ecological Informatics · doi:10.1016/j.ecoinf.2005.10.003 · Cited by 7 · see citing works
An Evolutionary Approach to Synthetic Biology: Zen in the Art of Creating Life
Ray, T. S. (2003) · Natural computing series · doi:10.1007/978-3-642-18965-4_19 · Cited by 7 · see citing works
Self-citationWhat you always wanted to know about genetic algorithms but were afraid to hearPreprint
Toffoli, T. (2000) · arXiv (Cornell University) · doi:10.48550/arxiv.nlin/0007013 · Cited by 7 · see citing works
Evolution of Differentiation in Multithreaded Digital Organisms
Ray, T. S., & Hart, J. F. (2000) · The MIT Press eBooks · doi:10.7551/mitpress/1432.003.0018 · Cited by 6 · see citing works
Self-citationUsing Digital Organism Evolutionary Software in the Classroom
Appleton, L., & Mackie, J. A. (2018) · The American Biology Teacher · doi:10.1525/abt.2019.81.1.12 · Cited by 5 · see citing works
Real communities of virtual plants explain biodiversity on just three assumptions
Hunt, R., & Colasanti, R. L. (2021) · in silico Plants · doi:10.1093/insilicoplants/diab015 · Cited by 5 · see citing works
Reconstruction of Kauffman networks applying trees
Rejtö, L., & Tusnády, G. (2006) · Linear Algebra and its Applications · doi:10.1016/j.laa.2006.01.024 · Cited by 4 · see citing works
Properties of Biological Mutation Networks and Their Implications for ALife
Droop, A., & Hickinbotham, S. (2011) · Artificial Life · doi:10.1162/artl_a_00043 · Cited by 4 · see citing works
Evolving autonomous software agents
Ray, T. S. (2002) · IEEE RO-MAN · doi:10.1109/roman.1994.365964 · Cited by 4 · see citing works
Self-citationMultiple von Neumann Computers: An Evolutionary Approach to Functional Emergence
Suzuki, H. (1997) · Artificial Life · doi:10.1162/artl.1997.3.121 · Cited by 4 · see citing works
Diversity and survival of artificial lifeforms under sedimentation and random motion
Glade, N., Bastien, O., & Ballet, P. (2017) · Theory in Biosciences · doi:10.1007/s12064-017-0254-1 · Cited by 3 · see citing works
Eco-Evolutionary Dynamics on Deformable Fitness Landscapes
Watson, R. A. R., & Ebner, M. (2013) · Emergence, complexity and computation · doi:10.1007/978-3-642-41888-4_12 · Cited by 3 · see citing works
Functional Emergence with Multiple von Neumann Computers.
Suzuki, H. (1997) · Cited by 3 · see citing works
Reproducer classification using the theory of affordances: models and examples
Webster, M., & Malcolm, G. (2007) · Cited by 3 · see citing works
Evolution, entropy, and parallel computation
Thearling, K. (2002) · Workshop on Physics and Computation (PhysComp) · doi:10.1109/phycmp.1994.363674 · Cited by 3 · see citing works
Formal Models of Reproduction: from Computer Viruses to Artificial Life
Webster, M. (2008) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 3 · see citing works
How universal is Darwinʼs principle?
Schuster, P. M. (2012) · Physics of Life Reviews · doi:10.1016/j.plrev.2012.06.009 · Cited by 2 · see citing works
Tierra: The Character of Adaptation
Ewert, W., Dembski, W. A., & Marks, R. J. (2013) · doi:10.1142/9789814508728_0005 · Cited by 2 · see citing works
Simulation of the evolution of genomic complexity
Lu, X., & Li, Y. (2001) · Biosystems · doi:10.1016/s0303-2647(01)00152-6 · Cited by 2 · see citing works
Entropic Differential Evolution - ℯDE
Naghib, E., & Nobakhti, A. (2016) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2016.7525283 · Cited by 1 · see citing works
Searching for Extraterrestrial Life Without a Definition or Universal Theory of Life
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.009 · Cited by 1 · see citing works
Challenges for a Universal Theory of Life
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.006 · Cited by 1 · see citing works
Emotion model with evolution process
Inoue, K., & Kobayashi, H. (2002) · IEEE RO-MAN · doi:10.1109/roman.1997.647008 · Cited by 1 · see citing works
Virtual Reality in Biology: Can We Become Virtual Naturalists?Preprint
Morimoto, J., & Ponton, F. (2021) · Preprints.org · doi:10.20944/preprints201910.0311.v3 · Cited by 1 · see citing works
Virtual Reality in Biology: Can We Become Virtual Naturalists?Preprint
Morimoto, J., & Ponton, F. (2019) · Preprints.org · doi:10.20944/preprints201910.0311.v1
Re-creating the Philosopher’s Mind: Artificial Life from Artificial IntelligencePreprint
Ling, M. H. (2012) · PhilSci-Archive (University of Pittsburgh)
The Effects of Diversity Maintenance on Coevolution for an Intransitive Numbers Problem
Ranjeet, T., Mašek, M., Hingston, P., & Lam, C. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-25832-9_34
On the evolution of artificial consciousness. Re-inventing the wheel, Re: Inventing the wheel
Jones, S. (2004) · Technoetic Arts · doi:10.1386/tear.2.1.45/0
Global Problems in the Biospheric Studies
Goldfein, M. D., & Иванов, А. В. (2017) · Apple Academic Press eBooks · doi:10.4324/9781315366555-6
Topologia computacional para análise de série temporal
Miranda, V. L. D. (2019) · doi:10.11606/d.59.2019.tde-13052019-175021
A Shadow Biosphere: Alien Microbes on Earth?
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.010
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.002
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.003
How Scientific Theories Develop
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.005
Rethinking the Traditional Paradigm for Life: Lessons from the World of Microbes
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.007
Artificial Life: Could ALife Solve theN = 1N=1 Problem?
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.008
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.001
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.011
(2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.012
Minimizing Volatility by Biological ComplexityPreprint
Agarwal, N. (2003) · SSRN Electronic Journal · doi:10.2139/ssrn.383343
Virtual Reality in Biology: Can We Become Virtual Naturalists?Preprint
Morimoto, J., & Ponton, F. (2020) · Preprints.org · doi:10.20944/preprints201910.0311.v2
Global Problems in the Biospheric Studies
(2016) · Apple Academic Press eBooks · doi:10.1201/b19890-7
Cleland, C. E. (2019) · Cambridge University Press eBooks · doi:10.1017/9781139046893.013
Digital Evolution as a Complex System
Ray, T. S. (1995) · Institutional Repositories DataBase (IRDB)
Self-citationSimulating the socioecology of virtual primates using B3GET: a generalized behavioral modeling tool
Crouse, K. N., Lehman, C. L., & Wilson, M. L. (2026) · Individual-based Ecology · doi:10.3897/ibe.2.174844
- Authors
- Ray, T. S.
- Corresponding author
- Ray, Thomas S.
- Venue
- Physica D: Nonlinear Phenomena
- Publisher
- Elsevier BV
- Published
- 1994-08
- Volume
- 75
- Issue
- 1-3
- Pages
- 239-263
- ISSN
- 0167-2789 (ISSN-L)
- OpenAlex
- W2049060674
- Cited by
- 93
- References
- 6
- Citations by year
- 2026: 1 · 2024: 1 · 2021: 6 · 2020: 2 · 2019: 18 · 2018: 1 · 2017: 2 · 2016: 3 · 2014: 2 · 2013: 4 · 2012: 2
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physica D Nonlinear Phenomena (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Systems and Dynamics
- Keywords
- Darwinian evolution, natural selection, artificial evolution, virtual worlds, evolutionary optimization, complexity, entropy (information theory), diversity, ecological communities
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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