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Rob Mills
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The Evolution of Phenotypic Correlations and “Developmental Memory”
RA Watson, GP Wagner, M Pavlicev, DM Weinreich, R Mills
Evolution 68 (4), 1124-1138, 2014
1292014
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
782016
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
642015
Optimization in “self‐modeling” complex adaptive systems
RA Watson, CL Buckley, R Mills
Complexity 16 (5), 17-26, 2011
642011
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
582011
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
582010
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
552019
On crossing fitness valleys with the Baldwin effect
R Mills, RA Watson
Proceedings of the Tenth International Conference on the Simulation and …, 2006
372006
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
332011
“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
332011
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
312009
The effect of Hebbian learning on optimisation in Hopfield networks
RA Watson, CL Buckley, R Mills
University of Southampton, 2009
212009
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
192009
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
182014
Governing the swarm: Controlling a bio-hybrid society of bees & robots with computational feedback loops
M Stefanec, M Szopek, T Schmickl, R Mills
2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017
172017
How micro-evolution can guide macro-evolution: Multi-scale search via evolved modular variation
R Mills
University of Southampton, 2010
162010
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
16*2009
Symbiosis, synergy and modularity: introducing the reciprocal synergy symbiosis algorithm
R Mills, R Watson
Advances in Artificial Life, 1192-1201, 2007
162007
Genetic assimilation and canalisation in the Baldwin effect
R Mills, R Watson
Advances in Artificial Life, 353-362, 2005
152005
Bio-Hybrid Systems for Ecosystem Level Effects
A Ilgün, K Angelov, M Stefanec, S Schönwetter-Fuchs, V Stokanic, ...
ALIFE 2021: The 2021 Conference on Artificial Life, 2021
142021
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