Year |
Citation |
Score |
2020 |
Brun-Usan M, Thies C, Watson RA. How to fit in: The learning principles of cell differentiation. Plos Computational Biology. 16: e1006811. PMID 32282832 DOI: 10.1371/Journal.Pcbi.1006811 |
0.332 |
|
2019 |
Rago A, Kouvaris K, Uller T, Watson R. How adaptive plasticity evolves when selected against. Plos Computational Biology. 15: e1006260. PMID 30849069 DOI: 10.1371/Journal.Pcbi.1006260 |
0.334 |
|
2018 |
Uller T, Moczek AP, Watson RA, Brakefield PM, Laland KN. Developmental Bias and Evolution: A Regulatory Network Perspective. Genetics. 209: 949-966. PMID 30049818 DOI: 10.1534/Genetics.118.300995 |
0.354 |
|
2017 |
Gonzalez M, Watson R, Bullock S. Minimally Sufficient Conditions for the Evolution of Social Learning and the Emergence of Non-Genetic Evolutionary Systems. Artificial Life. 493-517. PMID 28985112 DOI: 10.1162/Artl_A_00244 |
0.31 |
|
2017 |
Kouvaris K, Clune J, Kounios L, Brede M, Watson RA. How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation. Plos Computational Biology. 13: e1005358. PMID 28384156 DOI: 10.1371/Journal.Pcbi.1005358 |
0.366 |
|
2016 |
Watson RA, Mills R, Buckley CL, Kouvaris K, Jackson A, Powers ST, Cox C, Tudge S, Davies A, Kounios L, Power D. Evolutionary Connectionism: Algorithmic Principles Underlying the Evolution of Biological Organisation in Evo-Devo, Evo-Eco and Evolutionary Transitions. Evolutionary Biology. 43: 553-581. PMID 27932852 DOI: 10.1007/S11692-015-9358-Z |
0.397 |
|
2016 |
Watson RA, Szathmáry E. How Can Evolution Learn? - A Reply to Responses. Trends in Ecology & Evolution. PMID 27814921 DOI: 10.1016/J.Tree.2016.10.005 |
0.302 |
|
2016 |
Tudge SJ, Watson RA, Brede M. Game theoretic treatments for the differentiation of functional roles in the transition to multicellularity. Journal of Theoretical Biology. PMID 26869214 DOI: 10.1016/J.Jtbi.2016.01.041 |
0.317 |
|
2015 |
Watson RA, Szathmáry E. How Can Evolution Learn? Trends in Ecology & Evolution. PMID 26705684 DOI: 10.1016/J.Tree.2015.11.009 |
0.322 |
|
2015 |
Power DA, Watson RA, Szathmáry E, Mills R, Powers ST, Doncaster CP, Czapp B. What can ecosystems learn? Expanding evolutionary ecology with learning theory. Biology Direct. 10: 69. PMID 26643685 DOI: 10.1186/S13062-015-0094-1 |
0.328 |
|
2014 |
Watson RA, Wagner GP, Pavlicev M, Weinreich DM, Mills R. The evolution of phenotypic correlations and "developmental memory". Evolution; International Journal of Organic Evolution. 68: 1124-38. PMID 24351058 DOI: 10.1111/Evo.12337 |
0.349 |
|
2013 |
Doncaster CP, Jackson A, Watson RA. Competitive environments sustain costly altruism with negligible assortment of interactions. Scientific Reports. 3: 2836. PMID 24089101 DOI: 10.1038/Srep02836 |
0.342 |
|
2013 |
Weinreich DM, Sindi S, Watson RA. Finding the boundary between evolutionary basins of attraction, and implications for Wright's fitness landscape analogy Journal of Statistical Mechanics: Theory and Experiment. 2013. DOI: 10.1088/1742-5468/2013/01/P01001 |
0.318 |
|
2012 |
Watson RA. Is evolution by natural selection the algorithm of biological evolution? Artificial Life 13: Proceedings of the 13th International Conference On the Simulation and Synthesis of Living Systems, Alife 2012. 121-128. DOI: 10.7551/978-0-262-31050-5-Ch018 |
0.318 |
|
2011 |
Powers ST, Penn AS, Watson RA. The concurrent evolution of cooperation and the population structures that support it. Evolution; International Journal of Organic Evolution. 65: 1527-43. PMID 21644946 DOI: 10.1111/J.1558-5646.2011.01250.X |
0.309 |
|
2011 |
Watson RA, Mills R, Buckley CL. Global adaptation in networks of selfish components: emergent associative memory at the system scale. Artificial Life. 17: 147-66. PMID 21554114 DOI: 10.1162/Artl_A_00029 |
0.318 |
|
2005 |
Watson RA, Pollack JB. Modular interdependency in complex dynamical systems. Artificial Life. 11: 445-57. PMID 16197673 DOI: 10.1162/106454605774270589 |
0.505 |
|
2005 |
Weinreich DM, Watson RA, Chao L. Perspective: Sign epistasis and genetic constraint on evolutionary trajectories. Evolution; International Journal of Organic Evolution. 59: 1165-74. PMID 16050094 DOI: 10.1554/04-272 |
0.329 |
|
2005 |
Lenaerts T, Chu D, Watson R. Dynamical hierarchies guest editors' introduction Artificial Life. 11: 403-405. DOI: 10.1162/106454605774270606 |
0.304 |
|
2003 |
Watson RA, Pollack JB. A computational model of symbiotic composition in evolutionary transitions. Bio Systems. 69: 187-209. PMID 12689729 DOI: 10.1016/S0303-2647(02)00135-1 |
0.519 |
|
2002 |
Watson RA, Ficici SG, Pollack JB. Embodied Evolution: Distributing an evolutionary algorithm in a population of robots Robotics and Autonomous Systems. 39: 1-18. DOI: 10.1016/S0921-8890(02)00170-7 |
0.499 |
|
1999 |
Watson RA, Pollack JB. Hierarchically consistent test problems for genetic algorithms Proceedings of the 1999 Congress On Evolutionary Computation, Cec 1999. 2: 1406-1413. DOI: 10.1109/CEC.1999.782647 |
0.433 |
|
1999 |
Watson RA, Ficiei SG, Pollack JB. Embodied evolution: Embodying an evolutionary algorithm in a population of robots Proceedings of the 1999 Congress On Evolutionary Computation, Cec 1999. 1: 335-342. DOI: 10.1109/CEC.1999.781944 |
0.465 |
|
1999 |
Watson RA, Pollack JB. How symbiosis can guide evolution Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1674: 29-38. DOI: 10.1007/3-540-48304-7_7 |
0.467 |
|
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