Rob Mills
Zitiert von
Zitiert von
The Evolution of Phenotypic Correlations and “Developmental Memory”
RA Watson, GP Wagner, M Pavlicev, DM Weinreich, R Mills
Evolution 68 (4), 1124-1138, 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
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
Optimization in “self‐modeling” complex adaptive systems
RA Watson, CL Buckley, R Mills
Complexity 16 (5), 17-26, 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
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
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
On crossing fitness valleys with the Baldwin effect
R Mills, RA Watson
Proceedings of the Tenth International Conference on the Simulation and …, 2006
“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
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
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
The effect of Hebbian learning on optimisation in Hopfield networks
RA Watson, CL Buckley, R Mills
University of Southampton, 2009
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
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
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
How micro-evolution can guide macro-evolution: Multi-scale search via evolved modular variation
R Mills
University of Southampton, 2010
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
Symbiosis, synergy and modularity: introducing the reciprocal synergy symbiosis algorithm
R Mills, R Watson
Advances in Artificial Life, 1192-1201, 2007
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
Genetic assimilation and canalisation in the Baldwin effect
R Mills, R Watson
Advances in Artificial Life, 353-362, 2005
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