David Parsons
David Parsons
Verified email at inria.fr - Homepage
Title
Cited by
Cited by
Year
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
1242020
In silico experimental evolution: a tool to test evolutionary scenarios
B Batut, DP Parsons, S Fischer, G Beslon, C Knibbe
BMC bioinformatics 14 (S15), S11, 2013
542013
Scaling laws in bacterial genomes: A side-effect of selection of mutational robustness?
G Beslon, DP Parsons, Y Sanchez-Dehesa, JM Pena, C Knibbe
Biosystems 102 (1), 32-40, 2010
332010
Effects of public good properties on the evolution of cooperation
D Misevic, A Frénoy, DP Parsons, F Taddei
Artificial Life Conference Proceedings 12, 218-225, 2012
152012
From digital genetics to knowledge discovery: Perspectives in genetic network understanding
G Beslon, DP Parsons, JM Pena, C Rigotti, Y Sanchez-Dehesa
Intelligent Data Analysis 14 (2), 173-191, 2010
142010
Importance of the Rearrangement Rates on the Organization of Genome Transcription.
DP Parsons, C Knibbe, G Beslon
ALife, 479-486, 2010
132010
The Complexity Ratchet: Stronger than selection, weaker than robustness
V Liard, D Parsons, J Rouzaud-Cornabas, G Beslon
Artificial Life Conference Proceedings, 250-257, 2018
52018
What happened to my genes? Insights on gene family dynamics from digital genetics experiments
C Knibbe
Artificial Life Conference Proceedings 14, 33-40, 2014
32014
Sélection indirecte en évolution darwinienne: mécanismes et implications
D Parsons
Lyon, INSA, 2011
32011
Homologous and nonhomologous rearrangements: Interactions and effects on evolvability.
DP Parsons, C Knibbe, G Beslon
ECAL, 622-629, 2011
32011
Scaling laws in digital organisms
G Beslon, Y Sanchez-Dehesa, DP Parsons, JM Pena, C Knibbe
Proc. Information Processing in Cells and Tissues IPCAT'09, 111-114, 2009
32009
Modelling evolution of regulatory networks in artificial bacteria
Y Sanchez-Dehesa, D Parsons, JM Pena, G Beslon
Mathematical Modelling of Natural Phenomena 3 (2), 27-66, 2008
32008
Understanding and monitoring the evolution of the Covid-19 epidemic from medical emergency calls: the example of the Paris area
S Gaubert, M Akian, X Allamigeon, M Boyet, B Colin, T Grohens, ...
22020
Treerecs: an integrated phylogenetic tool, from sequences to reconciliations
N Comte, B Morel, D Hasic, L Guéguen, B Boussau, V Daubin, S Penel, ...
bioRxiv, 782946, 2019
22019
Parsimonious modeling of scaling laws in genomes and transcriptomes.
C Knibbe, DP Parsons, G Beslon
ECAL, 414-415, 2011
22011
Forecasting the local progression of the Covid-19 epidemic from medical emergency calls: the example of the Paris area
S Gaubert, M Akian, X Allamigeon, M Boyet, B Colin, T Grohens, ...
arXiv preprint arXiv:2005.14186, 2020
12020
The complexity ratchet: Stronger than selection, stronger than evolvability, weaker than robustness
V Liard, DP Parsons, J Rouzaud-Cornabas, G Beslon
Artificial Life 26 (1), 38-57, 2020
12020
How to reduce a genome? alife as a tool to teach the scientific method to school pupils
Q Carde, M Foley, C Knibbe, DP Parsons, J Rouzaud-Cornabas, ...
Artificial Life Conference Proceedings, 497-504, 2019
12019
Aevol: un modèle individu-centré pour l’étude de la structuration des génomes
DP Parsons, C Knibbe, G Beslon
MajecSTIC, inconnue, 2010
12010
Data Standards for Artificial Life Software
A Lalejini, E Dolson, C Bohm, AJ Ferguson, DP Parsons, PF Rainford, ...
Artificial Life Conference Proceedings, 507-514, 2019
2019
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