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 | 110 | 2017 |
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 | 98 | 2016 |
Resolving the paradox of evolvability with learning theory: How evolution learns to improve evolvability on rugged fitness landscapes L Kounios, J Clune, K Kouvaris, GP Wagner, M Pavlicev, DM Weinreich, ... arXiv preprint arXiv:1612.05955, 2016 | 24 | 2016 |
How evolution learns to generalise: Principles of under-fitting, over-fitting and induction in the evolution of developmental organisation K Kouvaris, J Clune, L Kounios, M Brede, RA Watson arXiv preprint arXiv:1508.06854, 2015 | 16 | 2015 |
The evolution of evolvability: how evolution learns to evolve L Kounios University of Southampton, 2021 | | 2021 |