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Pawel Lichocki

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.
Authored Publications
Google Publications
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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
    Preview abstract 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. View details
    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
    The ethical landscape of robotics
    Aude Billard
    Peter H Kahn
    IEEE Robotics and Automation Magazine, vol. 18 (2011), pp. 39-50
    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
    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
    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
    Approximating geometric crossover in semantic space
    Krzysztof Krawiec
    Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, ACM (2009), pp. 987-994