Pawel Lichocki
Paweł Lichocki is a Software Engineer at Google in Operations Research team where he works on combinatorial optimization. He received his PhD in Computer Science from École Polytechnique Fédérale de Lausanne for work on evolution of division of labor in multi-agent systems. Prior, he was a researcher in Supercomputer and Networking Center in Poznań where he worked on parallel and distributed processing algorithms.
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Mechanosensory interactions drive collective behaviour in Drosophila
Pavan Ramdya
Steeve Cruchet
Lukas Frisch
Winnie Tse
Dario Floreano
Richard Benton
Nature, vol. 519 (2015), 233–236
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Collective behaviour enhances environmental sensing and decision-making in groups of animals. Experimental and theoretical investigations of schooling fish, flocking birds and human crowds have demonstrated that simple interactions between individuals can explain emergent group dynamics. These findings indicate the existence of neural circuits that support distributed behaviours, but the molecular and cellular identities of relevant sensory pathways are unknown. Here we show that Drosophila melanogaster exhibits collective responses to an aversive odour: individual flies weakly avoid the stimulus, but groups show enhanced escape reactions. Using high-resolution behavioural tracking, computational simulations, genetic perturbations, neural silencing and optogenetic activation we demonstrate that this collective odour avoidance arises from cascades of appendage touch interactions between pairs of flies. Inter-fly touch sensing and collective behaviour require the activity of distal leg mechanosensory sensilla neurons and the mechanosensory channel NOMPC. Remarkably, through these inter-fly encounters, wild-type flies can elicit avoidance behaviour in mutant animals that cannot sense the odour - a basic form of communication. Our data highlight the unexpected importance of social context in the sensory responses of a solitary species and open the door to a neural-circuit-level understanding of collective behaviour in animal groups.
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Selection methods regulate evolution of cooperation in digital evolution
Dario Floreano
Laurent Keller
Journal of The Royal Society Interface, vol. 11 (2014), pp. 20130743
Evolving team compositions by agent swapping
Steffen Wischmann
Laurent Keller
Dario Floreano
IEEE Transactions on Evolutionary Computation, vol. 17 (2013), pp. 282-298
The hourglass and the early conservation models - co-existing patterns of developmental constraints in vertebrates
Barbara Piasecka
Sébastien Moretti
Sven Bergmann
Marc Robinson-Rechavi
PLOS Genetics, vol. 9 (2013), e1003476
Neural networks as mechanisms to regulate division of labor
Danesh Tarapore
Laurent Keller
Dario Floreano
The American Naturalist, vol. 179 (2012), pp. 391-400
Two-dimensional discrete wavelet transform on large images for hybrid computing architectures: GPU and CELL
Marek Błażewicz
Miłosz Ciżnicki
Piotr Kopta
Krzysztof Kurowski
European Conference on Parallel Processing, Springer, Berlin, Heidelberg (2011), pp. 481-490
The ethical landscape of robotics
Aude Billard
Peter H Kahn
IEEE Robotics and Automation Magazine, vol. 18 (2011), pp. 39-50
Using co-solvability to model and exploit synergetic effects in evolution
Krzysztof Krawiec
International Conference on Parallel Problem Solving from Nature, Springer, Berlin, Heidelberg (2010), pp. 492-501
Approximating geometric crossover in semantic space
Krzysztof Krawiec
Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, ACM (2009), pp. 987-994
Evolving teams of cooperating agents for real-time strategy game
Krzysztof Krawiec
Wojciech Jaśkowski
Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing, Springer Berlin/Heidelberg (2009), pp. 333-342
