Richard A. Watson

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Jordan PollackProfessor and Chair of Computer Science, Brandeis UniversityCorreu electrònic verificat a brandeis.edu
Rob MillsEPFLCorreu electrònic verificat a epfl.ch
Simon T. PowersDivision of Computing Science and Mathematics, University of StirlingCorreu electrònic verificat a stir.ac.uk
Christopher L. BuckleyUniversity of SussexCorreu electrònic verificat a sussex.ac.uk
Daniel M WeinreichBrown UniversityCorreu electrònic verificat a brown.edu
Alexandra PennCentre for the Evaluation of Complexity Across the Nexus (CECAN), University of SurreyCorreu electrònic verificat a surrey.ac.uk
Joshua KnowlesSchlumberger | University of Birmingham | University of ManchesterCorreu electrònic verificat a slb.com
Jason NobleRetired from academic work. (Formerly at University of Southampton.)Correu electrònic verificat a ecs.soton.ac.uk
Eörs Szathmáry, research professorCentre for Ecological ResearchCorreu electrònic verificat a ecolres.hu
Edwin D. de JongPrincipal ML Scientist at AignosticsCorreu electrònic verificat a aignostics.com
Christoph ThiesUniversity of SouthamptonCorreu electrònic verificat a soton.ac.uk
Tobias UllerLund UniversityCorreu electrònic verificat a biol.lu.se
Kostas KouvarisCorpay OneCorreu electrònic verificat a corpayone.com
Gregory HornbyUniversity of California Santa CruzCorreu electrònic verificat a nasa.gov
Loizos KouniosCorreu electrònic verificat a ecs.soton.ac.uk
C. Patrick DoncasterSchool of Biological Sciences, University of Southampton UKCorreu electrònic verificat a soton.ac.uk
Ebner MarcErnst Moritz Arndt Universität GreifswaldCorreu electrònic verificat a uni-greifswald.de
Simon TudgePhD Candidate University of SouthamptonCorreu electrònic verificat a soton.ac.uk
Lin ChaoProfessor of Ecology, Behavior and Evolution, UCSDCorreu electrònic verificat a ucsd.edu
Daria RagoLund UniversityCorreu electrònic verificat a med.lu.se

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Richard A. Watson

University of Southampton

Correu electrònic verificat a ecs.soton.ac.uk - Pàgina d'inici

evolution cognition learning


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Perspective: sign epistasis and genetic constraint on evolutionary trajectories DM Weinreich, RA Watson, L Chao Evolution 59 (6), 1165-1174, 2005	804	2005
Reducing local optima in single-objective problems by multi-objectivization J Knowles, R Watson, D Corne Evolutionary Multi-Criterion Optimization, 269-283, 2001	514	2001
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ... Artificial life 26 (2), 274-306, 2020	373	2020
Embodied evolution: Distributing an evolutionary algorithm in a population of robots RA Watson, SG Ficici, JB Pollack Robotics and autonomous systems 39 (1), 1-18, 2002	366	2002
Reducing bloat and promoting diversity using multi-objective methods E de Jong, R Watson, J Pollack	294	2001
How can evolution learn? RA Watson, E Szathmary Trends in Ecology and Evolution, 147-157, 2016	292	2016
Modeling building-block interdependency R Watson, G Hornby, J Pollack Parallel Problem Solving from Nature—PPSN V, 97-106, 1998	270	1998
Coevolutionary dynamics in a minimal substrate RA Watson, JB Pollack Proceedings of the Genetic and Evolutionary Computation Conference (GECCO …, 2001	238	2001
Developmental bias and evolution: a regulatory network perspective T Uller, AP Moczek, RA Watson, PM Brakefield, KN Laland Genetics 209 (4), 949-966, 2018	220	2018
Embodied evolution: Embodying an evolutionary algorithm in a population of robots RA Watson, SG Ficiei, JB Pollack Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on 1, 1999	183	1999
THE EVOLUTION OF PHENOTYPIC CORRELATIONS AND ‘DEVELOPMENTAL MEMORY’ RA Watson, GP Wagner, M Pavlicev, DM Weinreich, R Mills Evolution, 2014	146	2014
Compositional evolution: the impact of sex, symbiosis and modularity on the gradualist framework of evolution RA Watson MIT Press, 2006	130	2006
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation K Kouvaris, J Clune, L Kounios, M Brede, RA Watson PLoS computational biology 13 (4), e1005358, 2017	126*	2017
Evolutionary techniques in physical robotics J Pollack, H Lipson, S Ficici, P Funes, G Hornby, R Watson Evolvable Systems: from biology to hardware, 175-186, 2000	125	2000
Modular interdependency in complex dynamical systems RA Watson, JB Pollack Artificial Life 11 (4), 445-457, 2005	121	2005
Compositional evolution: interdisciplinary investigations in evolvability, modularity, and symbiosis RA Watson PhD thesis. Brandeis University, 2002	115*	2002
Hierarchically consistent test problems for genetic algorithms RA Watson, JB Pollack Evolutionary Computation, 1999. CEC 99. Proceedings of the 1999 Congress on 2, 1999	114	1999
The concurrent evolution of cooperation and the population structures that support it ST Powers, AS Penn, RA Watson Evolution 65 (6), 1527-1543, 2011	112	2011
Evolutionary connectionism: algorithmic principles underlying the evolution of biological organisation in evo-devo, evo-eco and evolutionary transitions RA Watson, R Mills, CL Buckley, K Kouvaris, A Jackson, ST Powers, ... Evolutionary biology 43, 553-581, 2016	98	2016
Embodied evolution: A response to challenges in evolutionary robotics SG Ficici, RA Watson, JB Pollack Proceedings of the Eighth European Workshop on Learning Robots, 14-22, 1999	98	1999

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