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  • Nicolas Bredeche

  • Professeur des Universités
  • Équipe: Amac
  • Email: nicolas.bredeche (at) sorbonne-universite.fr
  • Addresse: ISIR, Campus Pierre et Marie Curie, 4 place Jussieu, BC173, 75005 Paris
  • Bio:

    Click here for english

    Je suis Professeur des Universités à Sorbonne Université, Paris, France.

    Je m'intéresse aux mécanismes qui permettent aux systèmes collectifs d'évoluer, d'apprendre et de s'adapter dans des environnements ouverts, qu'il s'agisse de systèmes naturels (modélisation computationnelle pour comprendre les comportements sociaux) ou de systèmes artificiels (algorithmes d'apprentissage pour la robotique en essaim). Mon activité de recherche se situe donc au croisement de l'informatique, de la biologie et de la robotique.

    Je suis également co-responsable du parcours du Master en informatique ANDROIDE (Intelligence Artificielle, Recherche Opérationnelle, Décision, Interaction, Robotique et Agents).

    La liste complète de mes publications se trouve aussi sur Google Scholar et sur HAL

Publications

  • Leo Cazenille, Nicolas Bredeche, José Halloy. Automated optimization of multilevel models of collective behaviour: application to mixed society of animals and robots. Bioinspiration and Biomimetics, 2022, 17 (5), pp.055002. ⟨10.1088/1748-3190/ac7fd1⟩. ⟨hal-03842222⟩
  • Yoones Mirhosseini, Matan Yah Ben Zion, Olivier Dauchot, Nicolas Bredeche. Adaptive phototaxis of a swarm of mobile robots using positive and negative feedback self-alignment. GECCO '22: Genetic and Evolutionary Computation Conference, 2022, Boston, United States. pp.104-112, ⟨10.1145/3512290.3528816⟩. ⟨hal-03842204⟩
  • Nicolas Bredeche, Nicolas Fontbonne. Social learning in swarm robotics. Philosophical Transactions of the Royal Society B: Biological Sciences, 2022, 377 (1843), pp.20200309. ⟨10.1098/rstb.2020.0309⟩. ⟨hal-03500739⟩
  • Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche. Policy Search with Rare Significant Events: Choosing the Right Partner to Cooperate with. PLoS ONE, 2022, PLoS ONE, 17 (4), pp.e0266841. ⟨10.1371/journal.pone.0266841⟩. ⟨hal-03315730⟩
  • Anil Yaman, Nicolas Bredeche, Onur Ç Aylak, Joel Z Leibo, Sang Wan Lee. Meta-control of social learning strategies. PLoS Computational Biology, 2022, 18 (2), pp.e1009882. ⟨hal-03315732⟩
  • Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche. Reinforcement Learning with Rare Significant Events: Direct Policy Search vs. Gradient Policy Search. Genetic and Evolutionary Computation Conference Companion, 2021, Lille (en ligne), France. ⟨hal-03315728⟩
  • Andrew Whiten, Dora Biro, Nicolas Bredeche, Ellen C Garland, Simon Kirby. The emergence of collective knowledge and cumulative culture in animals, humans and machines. Philosophical Transactions of the Royal Society B: Biological Sciences, 2021, 377 (1843), pp.20200306. ⟨10.1098/rstb.2020.0306⟩. ⟨hal-03842251⟩
  • Paul Ecoffet, Nicolas Bredeche, Jean-Baptiste André. Nothing better to do? Environment quality and the evolution of cooperation by partner choice. Journal of Theoretical Biology, 2021, 527, pp.110805. ⟨10.1016/j.jtbi.2021.110805⟩. ⟨hal-03313846⟩
  • Heiko Hamann, Melanie Schranz, Wilfried Elmenreich, Vito Trianni, Carlo Pinciroli, et al.. Editorial: Designing Self-Organization in the Physical Realm. Frontiers in Robotics and AI, 2020, 7, ⟨10.3389/frobt.2020.597859⟩. ⟨hal-03175234⟩
  • Paul Ecoffet, Jean-Baptiste André, Nicolas Bredeche. Learning to Cooperate in a Socially Optimal Way in Swarm Robotics. The 2020 Conference on Artificial Life, Jul 2020, Online, France. pp.251-259, ⟨10.1162/isal_a_00315⟩. ⟨ijn_03038683⟩
  • Stephane Doncieux, Nicolas Bredeche, Léni Kenneth Le Goff, Benoît Girard, Alexandre Coninx, et al.. DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics. 2020. ⟨hal-02562103⟩
  • Arthur Bernard, Nicolas Bredèche, Jean-Baptiste André. Indirect genetic effects allow escape from the inefficient equilibrium in a coordination game. Evolution Letters, 2020, ⟨10.1002/evl3.155⟩. ⟨hal-02612726⟩
  • Alexis Duburcq, Yann Chevaleyre, Nicolas Bredeche, Guilhem Boéris. Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. ICRA 2020- International Conference on Robotics and Automation, 2020, Paris (virtual), France. ⟨10.1109/ICRA40945.2020.9196633⟩. ⟨hal-03175242⟩
  • Leo Cazenille, Nicolas Bredeche, Nathanael Aubert-Kato. Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. IEEE ALIFE, 2020, Xiamen, China. ⟨hal-03175249⟩
  • Nicolas Fontbonne, Olivier Dauchot, Nicolas Bredeche. Distributed On-line Learning in Swarm Robotics with Limited Communication Bandwidth. IEEE Congress on Evolutionary Computation, 2020, Glasgow (virtual), United Kingdom. ⟨10.1109/CEC48606.2020.9185697⟩. ⟨hal-03175237⟩
  • Leo Cazenille, Nicolas Bredeche, Nathanael Aubert-Kato. Using MAP-Elites to Optimize Self-Assembling Behaviors in a Swarm of Bio-micro-robots. Swarm Conference, 2019, Okinawa, Japan. ⟨hal-03175252⟩
  • Leo Cazenille, Nicolas Bredeche, José Halloy. Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm. Living Machines Conference, 2019, Nara, Japan. ⟨hal-03175254⟩
  • Nicolas Bredeche. HIT-EE: a Novel Embodied Evolutionary Algorithm for Low Cost Swarm Robotics. ACM GECCO, 2019, Prague, Czech Republic. ⟨hal-03175256⟩
  • Leo Cazenille, Nicolas Bredeche, José Halloy. Evolutionary optimisation of neural network models for fish collective behaviours in mixed groups of robots and zebrafish. 7th International Conference on Biomimetic and Biohybrid System (Living Machines 2018), Jul 2018, Paris, France. pp.85-96, ⟨10.1007/978-3-319-95972-6_10⟩. ⟨hal-03313855⟩
  • Leo Cazenille, Yohann Chemtob, Frank Bonnet, Alexey Gribovskiy, Francesco Mondada, et al.. How to Blend a Robot within a Group of Zebrafish: Achieving Social Acceptance through Real-time Calibration of a Multi-level Behavioural Model. International Conference on Biomimetic and Biohybrid Systems, 2018, Paris, France. ⟨10.1007/978-3-319-95972-6_9⟩. ⟨hal-03313858⟩
  • Nicolas Bredeche, Evert Haasdijk, Abraham Prieto. Embodied Evolution in Collective Robotics: A Review. Frontiers in Robotics and AI, 2018, 5, pp.12. ⟨10.3389/frobt.2018.00012⟩. ⟨hal-03313845⟩
  • Leo Cazenille, Bertrand Collignon, Yohann Chemtob, Frank Bonnet, Alexey Gribovskiy, et al.. How mimetic should a robotic fish be to socially integrate into zebrafish groups?. Bioinspiration and Biomimetics, 2018, 13 (2), pp.025001. ⟨10.1088/1748-3190/aa8f6a⟩. ⟨hal-03313840⟩
  • Leo Cazenille, Nicolas Bredeche, José Halloy. Modelling zebrafish collective behaviours with multilayer perceptrons optimised by evolutionary algorithms. 2021. ⟨hal-03314684⟩
  • Alexandre Baccouche, Shu Okumura, Rémi Sieskind, Elia Henry, Nathanaël Aubert-Kato, et al.. Massively parallel and multiparameter titration of biochemical assays with droplet microfluidics. Nature Protocols, 2017, 12 (9), pp.1912-1932. ⟨10.1038/nprot.2017.092⟩. ⟨inserm-02299517⟩
  • Nicolas Bredeche, Jean-Marc Montanier, Simon Carrignon. Benefits of proportionate selection in embodied evolution. Evolving Collective Behaviors in Robotics Workshop at GECCO 2017., 2017, Berlin, Germany. ⟨10.1145/3067695.3082551⟩. ⟨hal-03314580⟩
  • John Rieffel, Jean-Baptiste Mouret, Nicolas Bredeche, Evert Haasdijk. Introduction to the Evolution of Physical Systems. Artificial Life, 2017, 23 (2), pp.119 - 123. ⟨10.1162/ARTL_e_00232⟩. ⟨hal-01631648⟩
  • Leo Cazenille, Yohann Chemtob, Frank Bonnet, Alexey Gribovskiy, Francesco Mondada, et al.. Automated calibration of a biomimetic space-dependent model for zebrafish and robot collective behaviour in a structured environment. International Conference on Biomimetic and Biohybrid Systems, 2017, Stanford, CA, United States. ⟨10.1007/978-3-319-63537-8_10⟩. ⟨hal-03314574⟩
  • Nathanael Aubert-Kato, Charles Fosseprez, Guillaume Gines, Ibuki Kawamata, Huy Dinh, et al.. Evolutionary optimization of self-assembly in a swarm of bio-micro-robots. Genetic and Evolutionary Computation Conference (GECCO '17), Jul 2017, Berlin, Germany. ⟨10.1145/3071178.3071289⟩. ⟨hal-03313837⟩
  • Anthony Genot, A. Baccouche, R. Sieskind, N. Aubert-Kato, Nicolas Bredèche, et al.. High-resolution mapping of bifurcations in nonlinear biochemical circuits. Nature Chemistry, 2016, 8 (8), pp.760-767. ⟨10.1038/nchem.2544⟩. ⟨inserm-02299554⟩
  • Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche. To Cooperate or Not to Cooperate: Why Behavioural Mechanisms Matter. PLoS Computational Biology, 2016, 12 (5), pp.e1004886. ⟨10.1371/journal.pcbi.1004886⟩. ⟨hal-01317424⟩
  • Carola Doerr, Nicolas Bredeche, Enrique Alba, Thomas Bartz-Beielstein, Dimo Brockhoff, et al.. Tutorials at PPSN 2016. PPSN 2016 - 14th International Conference on Parallel Problem Solving from Nature, Sep 2016, Edinburgh, United Kingdom. pp.1012-1022, ⟨10.1007/978-3-319-45823-6_95⟩. ⟨hal-01605625⟩
  • Jean-Marc Montanier, Simon Carrignon, Nicolas Bredeche. Behavioural specialisation in embodied evolutionary robotics: why so difficult?. Frontiers in Robotics and AI, 2016, 3 (38), pp.1-11. ⟨10.3389/frobt.2016.00038⟩. ⟨hal-03175199⟩
  • Leo Cazenille, Nicolas Bredeche, José Halloy. Automated optimisation of multi-level models of collective behaviour in a mixed society of animals and robots. 2021. ⟨hal-03314683⟩
  • Sophie Leguédois, Amina Ameur, Nicolas Marilleau, Nicolas Bredeche, Françoise Watteau. A heterogeneous, 3d, multiscale representation of the soil architecture to model microbial and faunal processes. Austin International Conference on Soil Modeling, International Soil Modeling Consortium, Mar 2016, Austin, United States. ⟨hal-02742835⟩
  • Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche. Evolving specialisation in a population of heterogeneous robots: the challenge of bootstrapping and maintaining genotypic polymorphism. 15th Conference on Simulation and Synthesis of Living Systems (ALIFE XV), 2016, Cancun, Mexico. ⟨hal-03175191⟩
  • Arthur Bernard, Jean-Baptiste André, Nicolas Bredeche. Evolution of Cooperation in Evolutionary Robotics : the Tradeoff between Evolvability and Efficiency. Proceedings of the European Converence on Artificial Life 2015, Jul 2015, York, United Kingdom. pp.195-502, ⟨10.7551/978-0-262-33027-5-ch087⟩. ⟨hal-01314723⟩
  • Stephane Doncieux, Nicolas Bredeche, Jean-Baptiste Mouret, Gusz Ae Eiben. Evolutionary robotics: what, why, and where to. Frontiers in Robotics and AI, 2015, pp.10.3389/frobt.2015.00004. ⟨10.3389/frobt.2015.00004⟩. ⟨hal-01131267⟩
  • A Gribovskiy, F Mondada, J L Deneubourg, L Cazenille, N Bredeche, et al.. Automated Analysis of Behavioural Variability and Filial Imprinting of Chicks (G. gallus) using Autonomous Robots. 2021. ⟨hal-03314678⟩
  • Leo Cazenille, Nicolas Bredeche, José Halloy. Multi-objective optimization of multi-level models for controlling animal collective behavior with robots. 4th International Conference Living Machines 2015, 2015, Barcelona, Spain. pp.379-390, ⟨10.1007/978-3-319-22979-9_38⟩. ⟨hal-03175192⟩
  • Elisabetta Zibetti, Simon Carrignon, Nicolas Bredeche. Acacia-es: an agent-based modeling and simulation tool for investigating social behaviors in resource-limited two-dimensional environments. Springer Mind & Society, 2015, 15 (1), pp.83-104. ⟨10.1007/s11299-015-0173-0⟩. ⟨hal-03175200⟩
  • Nicolas Bredeche, Evert Haasdijk, Abraham Prieto. Elements of Embodied Evolutionary Robotics. 2015 Annual Conference on Genetic and Evolutionary Computation, 2015, Madrid, Spain. ⟨10.1145/2739482.2768493⟩. ⟨hal-03314688⟩
  • Evert Haasdijk, Nicolas Bredeche, A.E. Eiben. Combining Environment-Driven Adaptation and Task-Driven Optimisation in Evolutionary Robotics. PLoS ONE, 2014, 9 (6), pp.e98466. ⟨10.1371/journal.pone.0098466⟩. ⟨hal-01360915⟩
  • Amina Ameur Medjbeur, Sophie Leguédois, Nicolas Marilleau, Nicolas Bredèche, Françoise Watteau. Modélisation en 3D de la structure d’un sol : Analyse de sensibilité et évaluation de l’approche APSF. 12. Journées d'Etude des Sols (JES), Jun 2014, Le Bourget du Lac, France. ⟨hal-01189994⟩
  • Taras Kowaliw, Nicolas Bredeche, Sylvain Chevallier, René Doursat. Artificial Neurogenesis: An Introduction and Selective Review. Springer; Taras Kowaliw, Nicolas Bredeche, René Doursat. Growing Adaptive Machines, 557, pp.1-60, 2014, Studies in Computational Intelligence, 978-3-642-55336-3. ⟨10.1007/978-3-642-55337-0_1⟩. ⟨hal-01351738⟩
  • Nicolas Bredeche. Embodied evolutionary robotics with large number of robots. 14th international conference on the synthesis and simulation of living systems (ALIFE 14), 2014, New York, United States. pp.1-2. ⟨hal-03175193⟩
  • Jean-Marc Montanier, Nicolas Bredeche. Altruistic cooperation and spatial dispersion: an artificial evolutionary ecology approach. Proceedings of the ACM GECCO 2013, 2013, Amsterdam, Netherlands. pp.33-34. ⟨hal-03175198⟩
  • Nathanaël Aubert, Quang Dinh, Masami Hagiya, Teruo Fujii, Hitoshi Iba, et al.. Evolving cheating dna networks: a case study with the rock-paper-scissors game. European Conference on Artificial Life (ECAL-2013), 2013, Taormina, Italy. pp.1-8. ⟨hal-03175195⟩
  • Evert Haasdijk, Nicolas Bredeche. Controlling task distribution in monee. European Conference on Artificial Life (ECAL-2013), 2013, Taormina, Italy. pp.1-8. ⟨hal-03175196⟩
  • Nicolas Bredeche, Jean-Marc Montanier, Berend Weel, Evert Haasdijk. Roborobo! a Fast Robot Simulator for Swarm and Collective Robotics. 2013. ⟨hal-03314587⟩
  • Nicolas Bredeche, Jean-Marc Montanier. From Self-adaptive Collective Robotics to Artificial Evolutionary Ecology (and back). The collective behaviours and social dynamics workshop at ECAL 2013, 2013, East Lansing, MI, United States. ⟨hal-03315473⟩