| The Evolution of Phenotypic Correlations and “Developmental Memory” RA Watson, GP Wagner, M Pavlicev, DM Weinreich, R Mills Evolution 68 (4), 1124-1138, 2014 | 71 | 2014 |
| 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 (4), 553-581, 2016 | 45 | 2016 |
| Optimization in “self‐modeling” complex adaptive systems RA Watson, CL Buckley, R Mills Complexity 16 (5), 17-26, 2011 | 44 | 2011 |
| Global adaptation in networks of selfish components: Emergent associative memory at the system scale RA Watson, R Mills, CL Buckley Artificial Life 17 (3), 147-166, 2011 | 42 | 2011 |
| On crossing fitness valleys with the Baldwin effect R Mills, RA Watson Proceedings of the Tenth International Conference on the Simulation and …, 2006 | 34 | 2006 |
| What can ecosystems learn? Expanding evolutionary ecology with learning theory DA Power, RA Watson, E Szathmáry, R Mills, ST Powers, CP Doncaster, ... Biology direct 10 (1), 69, 2015 | 27 | 2015 |
| Can selfish symbioses effect higher-level selection? RA Watson, N Palmius, R Mills, ST Powers, A Penn Advances in artificial life. Darwin Meets von Neumann, 27-36, 2009 | 27 | 2009 |
| Associative memory in gene regulation networks RA Watson, CL Buckley, R Mills, AP Davies Proceedings of the Twelfth International Conference on the Synthesis and …, 2010 | 26 | 2010 |
| “If You Can't Be With the One You Love, Love the One You're With”: How Individual Habituation of Agent Interactions Improves Global Utility AP Davies, RA Watson, R Mills, CL Buckley, J Noble Artificial life 17 (3), 167-181, 2011 | 23 | 2011 |
| Transformations in the scale of behavior and the global optimization of constraints in adaptive networks RA Watson, R Mills, CL Buckley Adaptive Behavior 19 (4), 227-249, 2011 | 17 | 2011 |
| Symbiosis enables the evolution of rare complexes in structured environments R Mills, RA Watson Advances in Artificial Life. Darwin Meets von Neumann, 110-117, 2009 | 17 | 2009 |
| The effect of Hebbian learning on optimisation in Hopfield networks RA Watson, CL Buckley, R Mills University of Southampton, 2009 | 17 | 2009 |
| Social environment construction provides an adaptive explanation for new levels of individuality ST Powers, R Mills, AS Penn, RA Watson Proceedings of Workshop on Levels of Selection and Individuality in …, 2009 | 15* | 2009 |
| Genetic assimilation and canalisation in the Baldwin effect R Mills, R Watson Advances in Artificial Life, 353-362, 2005 | 15 | 2005 |
| Robots mediating interactions between animals for interspecies collective behaviors F Bonnet, R Mills, M Szopek, S Schönwetter-Fuchs, J Halloy, S Bogdan, ... Science Robotics 4 (28), eaau7897, 2019 | 13 | 2019 |
| Transforming Evolutionary Search Into Higher-Level Evolutionary Search by Capturing Problem Structure R Mills, T Jansen, R Watson IEEE Transactions on Evolutionary Computation 18 (5), 628--642, 2014 | 13 | 2014 |
| Symbiosis, synergy and modularity: introducing the reciprocal synergy symbiosis algorithm R Mills, R Watson Advances in Artificial Life, 1192-1201, 2007 | 13 | 2007 |
| How micro-evolution can guide macro-evolution: Multi-scale search via evolved modular variation R Mills University of Southampton, 2010 | 12 | 2010 |
| Coordination of collective behaviours in spatially separated agents R Mills, P Zahadat, F Silva, D Mlikic, P Mariano, T Schmickl, L Correia Proceedings of the European Conference on Artificial Life 2015, 579--586, 2015 | 11 | 2015 |
| Variable discrimination of crossover versus mutation using parameterized modular structure R Mills, RA Watson Proceedings of the 9th annual conference on Genetic and evolutionary …, 2007 | 11 | 2007 |
Richard A. WatsonUniversity of SouthamptonZweryfikowany adres z ecs.soton.ac.uk
