Publications

Pierre Bessière, Emmanuel Mazer, Juan Manuel Ahuactzin-Larios, Kamel Mekhnacha. Bayesian Programming. CRC Press, pp.380, 2013, 9781439880326. ⟨hal-00905797⟩

Marie-Lou Barnaud, Jean-Luc Schwartz, Pierre Bessière, Julien Diard. Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication. PLoS ONE, Public Library of Science, 2019, 14 (1), pp.e0210302. ⟨10.1371/journal.pone.0210302⟩. ⟨hal-01994708⟩

D. Pinna, F. Abreu Araujo, Joo-Von Kim, Vincent Cros, Damien Querlioz, et al.. Skyrmion Gas Manipulation for Probabilistic Computing. Physical Review Applied, American Physical Society, 2018, 9 (6), ⟨10.1103/PhysRevApplied.9.064018⟩. ⟨hal-02350221⟩

Raphaël Laurent, Marie-Lou Barnaud, Jean-Luc Schwartz, Pierre Bessière, Julien Diard. The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception. Psychological Review, American Psychological Association, 2017, 124 (5), pp.572-602. ⟨10.1037/rev0000069⟩. ⟨hal-01484383v2⟩

Joseph S Friedman, Jacques Droulez, Pierre S Bessière, Jorge S Lobo, Damien S Querlioz. Approximation Enhancement for Stochastic Bayesian Inference. International Journal of Approximate Reasoning, Elsevier, 2017, ⟨10.1016/j.ijar.2017.03.007⟩. ⟨hal-01490461⟩

Marie-Lou Barnaud, Pierre Bessière, Julien Diard, Jean-Luc Schwartz. Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication. Brain and Language, Elsevier, 2017, 187, pp.19-32. ⟨10.1016/j.bandl.2017.12.003⟩. ⟨hal-01669961⟩

Joseph S Friedman, Laurie E Calvet, Pierre Bessière, Jacques Droulez, Damien Querlioz. Bayesian Inference With Muller C-Elements. IEEE Transactions on Circuits and Systems, Institute of Electrical and Electronics Engineers (IEEE), 2016, 63 (6), pp.895 - 904. ⟨10.1109/TCSI.2016.2546064⟩. ⟨hal-01380709⟩

Marvin Faix, Raphä El Laurent, Pierre Bessière, Emmanuel Mazer, Jacques Droulez. Design of Stochastic Machines Dedicated to Approximate Bayesian inferences. IEEE Transactions on Emerging Topics in Computing, Institute of Electrical and Electronics Engineers, 2016, ⟨10.1109/TETC.2016.2609926⟩. ⟨hal-01374906⟩

David Colliaux, Pierre Bessière, Jacques Droulez. Cell signaling as a probabilistic computer. International Journal of Approximate Reasoning, Elsevier, 2016, ⟨10.1016/j.ijar.2016.10.012⟩. ⟨hal-01441464⟩

Jean-Luc Schwartz, Marie-Lou Barnaud, Pierre Bessière, Julien Diard, Clément Moulin-Frier. Phonology in the mirror: Comment on "Towards a Computational Comparative Neuroprimatology: Framing the language-ready brain" by Michael A. Arbib. Physics of Life Reviews, Elsevier, 2016, 16, pp.93-95. ⟨10.1016/j.plrev.2016.01.007⟩. ⟨hal-01262293⟩

Pierre Bessière, Julien Diard, Francis Colas. Modèles probabilistes formels pour problèmes cognitifs usuels. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 2016, Nouvelles approches en robotique cognitive, 65 (1), pp.111-141. ⟨10.3406/intel.2016.1792⟩. ⟨hal-01345697⟩

Alexandre Coninx, Pierre Bessière, Jacques Droulez. Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. International Journal of Approximate Reasoning, Elsevier, 2016, ⟨10.1016/j.ijar.2016.11.004⟩. ⟨hal-01398148⟩

Gabriel Synnaeve, Pierre Bessiere. Multi-scale Bayesian modeling for RTS games: an application to StarCraft AI. IEEE Transactions on Computational Intelligence and AI in games, IEEE Computational Intelligence Society, 2015, ⟨10.1109/TCIAIG.2015.2487743⟩. ⟨hal-01228961⟩

Clément Moulin-Frier, Julien Diard, Jean-Luc Schwartz, Pierre Bessière. COSMO (“Communicating about Objects using Sensory–Motor Operations”): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems. Journal of Phonetics, Elsevier, 2015, 53, pp.5-41. ⟨10.1016/j.wocn.2015.06.001⟩. ⟨hal-01230175⟩

Julien Diard, Pierre Bessière, Alain Berthoz. Spatial memory of paths using circular probability distributions: Theoretical properties, navigation strategies and orientation cue combination. Spatial Cognition and Computation, Taylor & Francis, 2013, 13 (3), pp.219-257. ⟨10.1080/13875868.2012.756490⟩. ⟨hal-00834483⟩

Remis Balaniuk, Pierre Bessière, Emmanuel Mazer, Paulo Cobbe. Corruption risk analysis using semi-supervised naïve Bayes classifiers. International Journal of Reasoning-based Intelligent Systems, Inderscience Enterprises Ltd, 2013, 5 (4), pp.237-245. ⟨10.1504/IJRIS.2013.058768⟩. ⟨hal-01058580⟩

Raphaël Laurent, Clément Moulin-Frier, Pierre Bessière, Jean-Luc Schwartz, Julien Diard. Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception. Behavioral and Brain Sciences, Cambridge University Press (CUP), 2013, 36 (4), pp.36-37. ⟨hal-00765973⟩

Clément Moulin-Frier, Raphaël Laurent, Pierre Bessière, Jean-Luc Schwartz, Julien Diard. Adverse conditions improve distinguishability of auditory, motor and perceptuo-motor theories of speech perception: an exploratory Bayesian modeling study. Language and Cognitive Processes, Taylor & Francis (Routledge), 2012, 27 (7-8), pp.1240-1263. ⟨10.1080/01690965.2011.645313⟩. ⟨hal-01059179⟩

Joao Ferreira, Jorge Lobo, Pierre Bessiere, M. Castelo-Branco, Jorge Dias. A Bayesian Framework for Active Artificial Perception. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Institute of Electrical and Electronics Engineers, 2012, pp.1-13. ⟨hal-00747148⟩

Louis-Jean Boë, Jean-Luc Schwartz, Jean Granat, Jean-Louis Heim, Antoine Serrurier, et al.. L'émergence de la parole : Aspects historiques et épistémologiques d'une nouvelle réarticulation. Faits de langues, Brill, 2011, 37, pp.15-67. ⟨hal-00640388⟩

Estelle Gilet, Julien Diard, Pierre Bessiere. Bayesian Action-Perception Computational Model: Interaction of Production and Recognition of Cursive Letters. PLoS ONE, Public Library of Science, 2011, 6 (6), pp.e20387. ⟨10.1371/journal.pone.0020387⟩. ⟨hal-00645868⟩

Julien Diard, Estelle Gilet, Eva Simonin, Pierre Bessiere. Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment. Connection Science, Taylor & Francis, 2010, 22 (4), pp.291-312. ⟨hal-00537809⟩

Francis Colas, Julien Diard, Pierre Bessiere. Common bayesian models for common cognitive issues. Acta Biotheoretica, Springer Verlag, 2010, 58 (2-3), pp.191-216. ⟨10.1007/s10441-010-9101-1⟩. ⟨hal-00530356⟩

Audrey Houillon, Pierre Bessière, Jacques Droulez. The probabilistic cell: implementation of a probabilistic inference by the biochemical mechanisms of phototransduction. Acta Biotheoretica, Springer Verlag, 2010, 58 (2-3), pp.103-120. ⟨hal-00540300⟩

Francis Colas, Fabien Flacher, Thomas Tanner, Pierre Bessiere, Benoît Girard. Bayesian models of eye movement selection with retinotopic maps.. Biological Cybernetics (Modeling), Springer Verlag, 2009, 100 (3), pp.203-14. ⟨10.1007/s00422-009-0292-y⟩. ⟨hal-00384515⟩

Rolando Grave de Peralta Menedez, Amal Achaïbou, Pierre Bessière, Patrick Vuilleumier, Sare Gonzalez Andino. Bayesian Models of Mentalizing. Brain Topography: a Journal of Cerebral Function and Dynamics, Springer Verlag, 2008, 20 (4), pp.278-283. ⟨hal-00338772⟩

Francis Colas, Jacques Droulez, Marc Wexler, Pierre Bessière. A unified probabilistic model of the perception of three-dimensional structure from optic flow. Biological Cybernetics (Modeling), Springer Verlag, 2008, pp.132--154. ⟨10.1007/s00422-007-0183-z⟩. ⟨hal-00215918⟩

Kamel Mekhnacha, Juan-Manuel Ahuactzin, Pierre Bessière, Emanuel Mazer, Linda Smail. Exact and approximate inference in ProBT. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2007, 21/3, pp.295-332. ⟨hal-00338763⟩

Christophe Coué, Cédric Pradalier, Christian Laugier, Thierry Fraichard, Pierre Bessiere. Bayesian Occupancy Filtering for Multitarget Tracking: an Automotive Application. The International Journal of Robotics Research, SAGE Publications, 2006, 25, 25 (1), pp.19--30. ⟨inria-00182004⟩

Cédric Pradalier, Jorje Hermosillo, Carla Koike, Christophe Braillon, Pierre Bessiere, et al.. The CyCab: a car-like robot navigating autonomously and safely among pedestrians. Robotics and Autonomous Systems, Elsevier, 2005, 50, 50 (1), pp.51-68. ⟨inria-00182049⟩

Jihène Serkhane, Jean-Luc Schwartz, Pierre Bessiere. Building a talking baby robot A contribution to the study of speech acquisition and evolution. Interaction Studies, 2005, 6 (2), pp.253-286. ⟨hal-00186575⟩

Jean-Luc Schwartz, Jihène Serkhane, Pierre Bessiere, Louis-Jean Boë. La robotique de la parole, ou comment modéliser la communication par gestes orofaciaux. Primatologie, ADRSC, Marseille, FRANCE, 2004, 6, pp.329--352. ⟨inria-00189569⟩

Ronan Le Hy, Anthony Arrigoni, Pierre Bessiere, Olivier Lebeltel. Teaching Bayesian Behaviours to Video Game Characters. Robotics and Autonomous Systems, Elsevier, 2004, 47, 47, pp.177--185. ⟨inria-00182073⟩

Olivier Lebeltel, Pierre Bessiere, Julien Diard, Emmanuel Mazer. Programmation bayésienne des robots. Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 2004, 18, 18 (2), pp.261--298. ⟨inria-00182069⟩

Olivier Lebeltel, Pierre Bessiere, Julien Diard, Emmanuel Mazer. Bayesian Robot Programming. Autonomous Robots, Springer Verlag, 2004, 16 (1), pp.49--79. ⟨10.1023/B:AURO.0000008671.38949.43⟩. ⟨inria-00189723v2⟩

Pierre Bessiere, Emmanuel Mazer. Pour décider, mieux vaut parier. La Recherche, Sciences et avenir, 2002, pp.33-35. ⟨hal-00779758⟩

Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessiere. The Design and Implementation of a Bayesian CAD Modeler for Robotic Applications. Advanced Robotics, Taylor & Francis, 2001, 15, N.1, pp 45-70. ⟨hal-00019182⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel, Emmanuel Mazer, Kamel Mekhnacha. Interprétation versus Description (I) : Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 1999, 26-27, pp 257-311. ⟨hal-00019186⟩

Emmanuel Mazer, Juan-Manuel Ahuactzin, Pierre Bessiere. The Ariadne's Clew Algorithm. Journal of Artificial Intelligence Research, Association for the Advancement of Artificial Intelligence, 1998, 9, pp.295-316. ⟨inria-00356708⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel, Emmanuel Mazer, Kamel Mekhnacha. Interprétation ou Description (II) : Fondements mathématiques de l'approche F+D. Intellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), Association pour la Recherche sur la Cognition, 1998, 26-27, p. 313-336. ⟨hal-00106222⟩

El-Ghazali Talbi, Pierre Bessière, Juan-Manuel Ahuactzin, Emanuel Mazer. UN ALGORITHME GÉNÉTIQUE PARALLÈLE POUR L'OPTIMISATION. Revue des Sciences et Technologies de l'Information - Série TSI : Technique et Science Informatiques, Lavoisier, 1996, 15 (8), pp.1105-1130. ⟨hal-00215920⟩

Juan-Manuel Ahuactzin, Emanuel Mazer, Pierre Bessière. Fondements mathématiques de l'algorithme "Fil d'Ariane". Revue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, Lavoisier, 1995, pp.132--154. ⟨hal-00215514⟩

El-Ghazali Talbi, Pierre Bessiere. Superlinear performance of a genetic algorithm on the super node parallel architecture. SIAM Review, Society for Industrial and Applied Mathematics, 1991, 24 (4), pp.80-83. ⟨hal-00779786⟩

Daniele Pinna, Julie Grollier, Vincent Cros, Damien Querlioz, Pierre Bessière, et al.. Dispositif de génération d’un signal électrique aléatoire et architecture associée. France, N° de brevet: FRANCE n° 16 00791. 2016. ⟨hal-01399341⟩

Pierre Bessière, Jacques Droulez, Emmanuel Mazer, Raphael Laurent, Damien Querlioz, et al.. Machine stochastique modulaire et procédé associé. France, N° de brevet: FR 16 01463. 2016. ⟨hal-01399353⟩

Jacques Droulez, Pierre Bessière. Microprocesseur parallèle stochastique. France, N° de brevet: European Patent N=EP1556102. 2015. ⟨hal-01399324⟩

Christophe Coué, Pierre Bessière, Thierry Fraichard, Christian Laugier. PROCEDE D'ASSISTANCE A LA CONDUITE D'UN VEHICULE ET DISPOSITIF ASSOCIE. France, N° de brevet: FR2890773 (A1). 2007. ⟨hal-00431267⟩

Pierre Bessière. Procédé de détermination de la valeur à donner à différents paramètres d'un système. France, N° de brevet: EP1387232 (A1). 2004. ⟨hal-00431268⟩

Ali Mohammad-Djafari, Jean-François Bercher, Pierre Bessière. Bayesian Inference and maximum Entropy Methods in Science and Engineering. American Institute of Physics, pp.499, 2010. ⟨hal-00599193⟩

Pierre Bessière, Christian Laugier, Roland Siegwart. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems. springer, pp.378, 2008. ⟨hal-00338704⟩

Jacques Droulez, Pierre Bessière. Le temps dans l'inférence probabiliste. Anticipation et Prédiction, 2015. ⟨hal-01187008⟩

Pierre Bessière. Simplexité et probabilités subjectives. Alain Berthoz et Jean-Luc Petit. COMPLEXITÉ-SIMPLEXITÉ, Collège de France, pp.125 - 130, 2014, 9782722603301. ⟨hal-00986576⟩

Anya Petrovskaya, Mathias Perrollaz, Luciano Oliveira, Luciano Spinello, Rudolph Triebel, et al.. Awareness of Road Scene Participants for Autonomous Driving. Azim Eskandarian. Handbook of Intelligent Vehicles, Springer, pp.1383-1432, 2012, 978-0-85729-085-4. ⟨10.1007/978-0-85729-085-4_54⟩. ⟨hal-00683761⟩

Clément Moulin-Frier, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. Emergence of articulatory-acoustic systems from deictic interaction games in a "vocalize to localize" framework. Anne Vilain and Jean-Luc Schwartz and Christian Abry and Jacques Vauclair. Primate communication and human language: Vocalisations, gestures, imitation and deixis in humans and non-humans, John Benjamins Pub. Co., pp.193-220, 2011, Advances in Interaction Studies. ⟨hal-00961125⟩

Francis Colas, Pierre Bessière, Jacques Droulez, Marc Wexler. Bayesian Modelling of Perception of Structure from Motion. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.301-328, 2008. ⟨hal-00338732⟩

Kamel Mekhnacha, Pierre Bessière. BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.205-231, 2008. ⟨hal-00338728⟩

Jihène Serkhane, Jean-Luc Schwartz, Pierre Bessière. Building a Talking Baby Robot: A Contribution to the Study of Speech Acquisition and Evolution. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.329-357, 2008. ⟨hal-00338734⟩

Ronan Le Hy, Pierre Bessière. Playing to Train Your Video Game Avatar. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.263-276, 2008. ⟨hal-00338729⟩

Pierre Bessière. Probability as an Alternative to Logic for Rational Sensory–Motor Reasoning and Decision. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.3-18, 2008. ⟨hal-00338708⟩

Cedric Pradalier, Pierre Bessière. The CyCab : Bayesian Navigation on Sensory–Motor Trajectories. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.51-75, 2008. ⟨hal-00338720⟩

Louis-Jean Boë, Pierre Bessière, N. Ladjili, N. Audibert. Simple Combinatorial Considerations Challenge Ruhlen's Mother Tongue Theory. Barbara L. Davis and Krisztina Zajdo. The syllable in Speech Production - Perspectives on the Frame Content Theory, Taylor and Francis, pp.132--154, 2008. ⟨hal-00214293⟩

Julien Diard, Pierre Bessiere. Bayesian Maps: probabilistic and hierarchical models for mobile robot navigation. Bessière, Pierre and Laugier, Christian and Siegwart, Roland. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, Springer-Verlag, pp.153--175, 2008, Springer Tracts in Advanced Robotics. ⟨hal-01059197⟩

Louis-Jean Boë, Pierre Bessiere, Nadia Ladjili, Nicolas Audibert. Simple combinatorial considerations challenge Ruhlen's mother tongue theory. Barbara L. Davis; Krisztina Zajdo. The syllable in Speech Production - Perspectives on the Frame Content Theory, Taylor & Francis, 2008, 9780203837894. ⟨hal-01884400⟩

Olivier Lebeltel, Pierre Bessière. Basic Concepts of Bayesian Programming. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.19-48, 2008. ⟨hal-00338715⟩

Christopher Tay, Kamel Mekhnacha, Manuel Yguel, Christophe Coue, Cédric Pradalier, et al.. The Bayesian Occupation Filter. Bessière, P. and Laugier, C. and Siegwart, R. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 46, Springer, 2008, Springer Tracts in Advanced Robotics Series. ⟨inria-00295084⟩

Carla Cavalcante Koike, Pierre Bessière, Emanuel Mazer. Bayesian Approach to Action Selection and Attention Focusing. Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, springer, pp.177-201, 2008. ⟨hal-00338727⟩

David Bellot, Roland Siegwart, Pierre Bessiere, Adriana Tapus, Christophe Coué, et al.. Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples. Springer-Verlag. Embodied Artificial Intelligence Int. Seminar, 3139, Springer-Verlag, pp.186--201, 2004. ⟨inria-00182055⟩

Pierre Bessiere, Louis-Jean Boë, Laurent Métoz, Nathalie Vallée, Isabelle Rousset. L'hypothèse des racines universelles de Meritt Ruhlen. Analyse méthodologique et évaluation statistique. Les Univers Sonores, Presses Universitaires de Rennes, 2002. ⟨hal-00106238⟩

Pierre Bessiere, Olivier Lebeltel, Emmanuel Mazer, Kamel Mekhnacha. Simulation et Programmation. E. DOMBRE. Analyse et modélisation des robots, Editions HERMES, 2001. ⟨hal-00106245⟩

Pierre Bessiere, El-Ghazali Talbi. Superlinear performance of a genetic algorithm on the SuperNode parallel architecture. Applications on Advanced Architecture Computers, SIAM Press, 1996. ⟨hal-00106254⟩

Pierre Bessiere, Juan-Manuel Ahuactzin, Emmanuel Mazer. Le fil d'Ariane : une méthode de planification générale dans les espaces continus ; Application à la planification automatique de trajectoires. Robotique, Editions Scientifika, 1995. ⟨hal-00106262⟩

Pierre Bessiere, El-Ghazali Talbi, Juan-Manuel Ahuactzin, Emmanuel Mazer. Cooperating parallel genetic algorithms. Handbook of Genetic Algorithms applications, CRC Press, 1995. ⟨hal-00106267⟩

Pierre Bessiere, Juan-Manuel Ahuactzin, El-Ghazali Talbi, Emmanuel Mazer. The "Ariadne's Clew" Algorithm: Global Planning with Local Methods. K. Goldberg, D. Halperin, J.C. Latombe & R. Wilson. The Algorithmic Foundations of Robotics, A. K. Peters, Boston, MA, USA, 1995. ⟨hal-00106265⟩

Juan-Manuel Ahuactzin, Emmanuel Mazer, Pierre Bessiere, El-Ghazali Talbi. Using genetic algorithms for robot motion planning. Lectures Notes in Computer Science 708, Geometric Reasoning for perception and action, Springer-Verlag, 1993. ⟨hal-00106272⟩

Pierre Bessiere, Ali Chams, Anne Guérin-Dugué, Jeanny Hérault, Christian Jutten, et al.. From hardware to software : designing a "Neurostation". Introduction to V.L.S.I. design of Artificial Neural Network, Kluever Academic Press, Boston, USA, 1990. ⟨hal-00106332⟩

Pierre Bessiere. VERS UNE THÉORIE PROBABILISTE DES SYSTÈMES SENSORI-MOTEURS. Informatique. Université Joseph Fourier, 2000. ⟨tel-01186970⟩

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning. Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India. pp.3786-3790, ⟨10.21437/interspeech.2018-73⟩. ⟨hal-02002373⟩

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. Perceptuo-motor speech units in the brain with COSMO, a Bayesian model of communication. ISSP 2017 - 11th International Seminar on Speech Production, Oct 2017, Tianjin, China. ⟨hal-01614179⟩

Raphael Frisch, Raphaël Laurent, Marvin Faix, Laurent Girin, Laurent Fesquet, et al.. A Bayesian stochastic machine for sound source localization. ICRC 2017 - IEEE International Conference on Rebooting Computing, Nov 2017, Washington, DC, United States. pp.1-8. ⟨hal-01644346⟩

Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessìère. Assessing phonological learning in COSMO, a Bayesian model of speech communication. 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Oct 2017, Lisbonne, Portugal. ⟨hal-01614145⟩

Alexandre Coninx, Pierre Bessière, Emmanuel Mazer, Jacques Droulez, Raphaël Laurent, et al.. Bayesian Sensor Fusion with Fast and Low Power Stochastic Circuits. IEEE International Conference on rebooting Computing, Oct 2016, San Diego, United States. ⟨hal-01374910⟩

Marie-Lou Barnaud, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. Sensorimotor learning in a Bayesian computational model of speech communication. The Sixth Joint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB 2016), Sep 2016, Cergy-Pontoise, France. ⟨hal-01371719⟩

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. Assessing Idiosyncrasies in a Bayesian Model of Speech Communication. Interspeech 2016 - 17th Annual Conference of the International Speech Communication Association, Sep 2016, San Francisco, United States. ⟨10.21437/Interspeech.2016-396⟩. ⟨hal-01371722⟩

Marie-Lou Barnaud, Raphaël Laurent, Pierre Bessière, Julien Diard, Jean-Luc Schwartz. Modeling concurrent development of speech perception and production in a Bayesian framework. WILD 2015 - 2nd Workshop on Infant Language Development, Jun 2015, Stockholm, Sweden. ⟨hal-01202417⟩

Marie-Lou Barnaud, Julien Diard, Pierre Bessiere, Jean-Luc Schwartz. COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception. 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Aug 2015, Providence, RI, United States. ⟨hal-02004350⟩

Raphaël Rose-Andrieux, Jacques Droulez, Pierre Bessière. Bipedal dynamic walk : Velocity Control Point and Probabilistic Model. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015, hamburg, Germany. ⟨hal-01486823⟩

Marie-Lou Barnaud, Julien Diard, Pierre Bessière, Jean-Luc Schwartz. Modeling the concurrent development of speech perception and production in a Bayesian framework: COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception. 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Aug 2015, Providence, United States. ⟨hal-01202418⟩

David Colliaux, Pierre Bessière, Jacques Droulez. Robust sequence storage in bistable oscillators. Nanoarch 2014, Jul 2014, France. 2 p. ⟨hal-01025504⟩

Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard. A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables. Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France. pp.2797-2801. ⟨hal-00827885⟩

Pierre Bessiere. Simplexité et probabilités subjectives. Colloque "Complexité - Simplexité", May 2012, Paris, France. ⟨hal-00724405⟩

Gabriel Synnaeve, Pierre Bessiere. A Bayesian Tactician. Computer Games Workshop at ECAI 2012, Aug 2012, Montpellier, France. pp. 114-125. ⟨hal-00752868⟩

Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard. COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes. JEP-TALN-RECITAL 2012 - conférence conjointe 29e Journées d'Études sur la Parole, 19e Traitement Automatique des Langues Naturelles, 14e Rencontre des Étudiants Chercheurs en Informatique pour le Traitement Automatique des Langues, Jun 2012, Grenoble, France. pp.305-312. ⟨hal-00827889⟩

Gabriel Synnaeve, Pierre Bessiere. A Dataset for StarCraft AI & an Example of Armies Clustering. Artificial Intelligence in Adversarial Real-Time Games 2012, Oct 2012, Palo Alto, United States. pp 25-30. ⟨hal-00752893⟩

Pierre Bessiere. Subjective probabilistic models of sensory-motor systems - Possible molecular implementation of probabilistic calculus. International workshop on Random Models in Neuroscience, Jul 2012, Paris, France. ⟨hal-00724404⟩

Gabriel Synnaeve, Pierre Bessière. Special Tactics: a Bayesian Approach to Tactical Decision-making. Proceedings of the IEEE Conference on Computational Intelligence and Games, Sep 2012, Granada, Spain. pp.978-1-4673-1194-6/12/ 409-416. ⟨hal-00752841⟩

Remis Balaniuk, Pierre Bessiere, Emmanuel Mazer, Paulo Cobbe. Risk based Government Audit Planning using Naïve Bayes Classifiers. Advances in Knowledge-Based and Intelligent Information and Engineering Systems, 2012, Spain. ⟨10.3233/978-1-61499-105-2-1313⟩. ⟨hal-00746198⟩

Raphaël Laurent, Clément Moulin-Frier, Pierre Bessière, Jean-Luc Schwartz, Julien Diard. Noise and inter‐speaker variability improve distinguishability of auditory, motor and perceptuo‐motor theories of speech perception : An exploratory Bayesian modeling study. ISSP 2011 - 9th International Seminar on Speech Production, Jun 2011, Montréal, Canada. pp.n/c. ⟨hal-00827892⟩

Gabriel Synnaeve, Pierre Bessiere. A Bayesian Model for Opening Prediction in RTS Games with Application to StarCraft. Computational Intelligence and Games, Aug 2011, Seoul, South Korea. pp.000. ⟨hal-00607277⟩

Gabriel Synnaeve, Pierre Bessiere. A Bayesian Model for RTS Units Control applied to StarCraft. Computational Intelligence and Games, Aug 2011, Seoul, South Korea. pp.000. ⟨hal-00607281⟩

Gabriel Synnaeve, Pierre Bessière. A Bayesian Model for Plan Recognition in RTS Games applied to StarCraft. Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2011), Oct 2011, Palo Alto, United States. pp.79--84. ⟨hal-00641323⟩

Raphaël Laurent, Jean-Luc Schwartz, Pierre Bessière, Julien Diard. La Programmation Bayésienne d'un modèle computationnel intégrateur permet de comparer uniformément les différentes théories cognitives de la perception de la parole. RJCP 2011 - 9ème Rencontres des Jeunes Chercheurs en Parole, May 2011, Grenoble, France. ⟨hal-00827894⟩

Clément Moulin-Frier, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. A Unified Theoretical Bayesian Model of Speech Communication. ICDHM 2010 - 1st International Conference on Applied Digital Human Modeling, Jul 2010, Miami, Floride, United States. pp.457-466. ⟨hal-01059208⟩

Gabriel Synnaeve, Pierre Bessiere. Bayesian Modeling of a Human MMORPG Player. 30th international workshop on Bayesian Inference and Maximum Entropy, Jul 2010, Chamonix, France. ⟨inria-00538744⟩

Estelle Gilet, Julien Diard, Richard Palluel-Germain, Pierre Bessière. Bayesian Action-Perception loop modeling: Application to trajectory generation and recognition using internal motor simulation. Thirtieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (Maxent 2010), Jul 2010, Chamonix, France. pp.59--66. ⟨hal-00961128⟩

Francis Colas, Pierre Bessière, Benoît Girard. Maximum entropy perception-action space: a Bayesian model of eye movement selection. 30th Conf. on Bayesian Methods and Maximum Entropy in Science and Engineering (MaxEnt2010), Jul 2010, Chamonix, France. ⟨10.1063/1.3573660⟩. ⟨hal-01142599⟩

Jean-Marc Bollon, Ricardo Chavarriaga, José del R. Millán, Pierre Bessiere. EEG Error-Related Potentials Detection With A Bayesian Filter. 4th International IEEE EMBS Conference on Neural Engineering, Apr 2009, Antalya, Turkey. ⟨inria-00365266⟩

Audrey Houillon, Pierre Bessière, Jacques Droulez. Implementation of a probabilistic inference in a photoreceptor cell. Cosyne, Feb 2009, Salt Sake City, United States. ⟨hal-00432244⟩

Estelle Gilet, Julien Diard, Pierre Bessiére. Bayesian modelling of sensorimotor systems: Application to handwriting. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331586⟩

Clément Moulin-Frier, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. Emergence du langage par jeux déictiques dans une société d'agents sensori-moteurs en interaction. JEP 2008 - 27e Journées d'Etudes sur la Parole, Jun 2008, Avignon, France. ⟨hal-00338789⟩

Pierre Bessière, Juan-Manuel Ahuactzin, Emanuel Mazer, Kamel Mekhnacha. Bayesian Programming formalism and ProBT API. NIPS, 2008, United States. ⟨hal-00338775⟩

C. Pinho, J.F. Ferreira, Pierre Bessière, J. Dias. A Bayesian Binaural System for 3D Sound-Source Localisation. nternational Conference on Cognitive Systems (CogSys 2008), 2008, Karlsruhe, Germany. ⟨hal-00338802⟩

J.F. Ferreira, Pierre Bessière, Kamel Mekhnacha, J. Lobo, J. Dias, et al.. Bayesian Models for Multimodal Perception of 3D Structure and Motion. International Conference on Cognitive Systems (CogSys 2008), 2008, Karlsruhe, Germany. ⟨hal-00338800⟩

Clément Moulin-Frier, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. Emergence of a language through deictic games within a society of sensori-motor agents in interaction. ISSP 2008 - 8th International Seminar on Speech Production, Dec 2008, Strasbourg, France. ⟨hal-00338786⟩

Clément Moulin-Frier, Jean-Luc Schwartz, Julien Diard, Pierre Bessière. Emergence of a language through deictic games within a society of sensori-motor agents in interaction. International Workshop on "Speech and Face to Face Communication", 2008, Grenoble, France. ⟨hal-00370575⟩

Francis Colas, Fabien Flacher, Pierre Bessiére, Benoît Girard. Explicit uncertainty for eye movement selection. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331555⟩

Pierre Bessière, Francis Colas. Bayesian Programming: life science modeling and robotics applications. ISRR, 2007, Japan. ⟨hal-00338776⟩

Pierre Dangauthier, Pierre Bessiere, Anne Spalanzani. Auto-supervised learning in the Bayesian Programming Framework. 2005, pp.1-6. ⟨hal-00019663⟩

Eva Simonin, Julien Diard, Pierre Bessiere. Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors. Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2005, Edmonton, Canada. pp.1226--1231. ⟨inria-00182040⟩

Julien Diard, Pierre Bessiere, Emmanuel Mazer. Merging probabilistic models of navigation: the Bayesian Map and the Superposition operator. Proc. of the IEEE-RSJ Int. Conf. on Intelligent Robots and Systems, 2005, Edmonton, Canada. pp.668--673. ⟨inria-00182041⟩

Julien Diard, Panagiota Panagiotaki, Alain Berthoz, Pierre Bessiere. Modeling human spatial navigation components and their relationship using Bayesian sensori-motor schemas. Proc. of the World Congress of Psychophysiology, 2004, Chalkidiki (GR), France. ⟨inria-00182065⟩

Cédric Pradalier, Pierre Bessiere, Christian Laugier. Driving On A Known Sensori-Motor Trajectory With A Car-like Robot. Proc. of the Int. Symp. on Experimental Robotics, Jun 2004, Singapore (SG), France. ⟨inria-00182113⟩

Julien Diard, Pierre Bessiere, Emmanuel Mazer. A theoretical comparison of probabilistic and biomimetic models of mobile robot navigation. Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France. ⟨inria-00182051⟩

Julien Diard, Pierre Bessiere, Emmanuel Mazer. Hierarchies of probabilistic models of navigation: the Bayesian Map and the Abstraction operator. Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France. ⟨inria-00182061⟩

Pierre Dangauthier, Anne Spalanzani, Pierre Bessiere. Statistical methods and genetic algorithms for prior knowledge selection.. Actes du congrès francophone de Reconnaissance des Formes et Intelligence Artificielle, Jan 2004, Toulouse (FR), France. ⟨inria-00182072⟩

Cédric Pradalier, Jorje Hermosillo, Carla Koike, Christophe Braillon, Pierre Bessiere, et al.. An Autonomous Car-Like Robot Navigating Safely Among Pedestrians. Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France. ⟨inria-00182052⟩

Cédric Pradalier, Pierre Bessiere. Perceptual navigation around a sensori-motor trajectory. Proc. of the IEEE Int. Conf. on Robotics and Automation, Apr 2004, New Orleans, LA (US), France. ⟨inria-00182117⟩

Christophe Coué, Thierry Fraichard, Pierre Bessiere, Emmanuel Mazer. Using Bayesian Programming for Multi-Sensor Multi-Target Tracking in Automotive Applications. --, 2003, France. ⟨hal-00068773⟩

Julien Diard, Pierre Bessiere, Emmanuel Mazer. A Survey of Probabilistic Models Using the Bayesian Programming Methodology as a Unifying Framework. --, 2003, France. ⟨hal-00019254⟩

Ronan Le Hy, Anthony Arrigoni, Pierre Bessiere, Olivier Lebeltel. Teaching Bayesian Behaviours to Videogame Characters. Proc. of the IROS'03 Workshop on Robot Programming by Demonstration, Oct 2003, Las vegas, NV (US), France. ⟨inria-00182144⟩

Cédric Pradalier, Francis Colas, Pierre Bessière. Expressing Bayesian Fusion as a Product of Distributions: Applications in Robotics. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2003, Las Vegas, United States. pp.1851--1856, ⟨10.1109/IROS.2003.1248913⟩. ⟨hal-00089247v2⟩

David Bellot, Pierre Bessiere. Approximate Discrete Probability Distribution Representation using a Multi-Resolution Binary Tree. 2003. ⟨hal-00068631⟩

Carla Koike, Cédric Pradalier, Pierre Bessiere, Emmanuel Mazer. Obstacle Avoidance and Proscriptive Bayesian Programming. --, 2003, France. ⟨hal-00019258⟩

Julien Diard, Pierre Bessiere, Emmanuel Mazer. Combining probabilistic models of space for mobile robots: the Bayesian Map and the Superposition operator. Proc. of the Int. Advanced Robotics Programme, Oct 2003, Madrid (ES), France. pp.65--72. ⟨inria-00182076⟩

Cédric Pradalier, Francis Colas, Pierre Bessiere. Expressing Bayesian Fusion as a Product of Distributions: Application to Randomized Hough Transform. 2003. ⟨hal-00019262⟩

Jihène Serkhane, Jean-Luc Schwartz, Pierre Bessiere. Simulating Vocal Imitation in Infants, using a Growth Articulatory Model and Speech Robotics. 2003. ⟨hal-00019272⟩

Julien Diard, Pierre Bessiere, Emmanuel Mazer. Hierarchies of probabilistic models of space for mobile robots: the bayesian map and the abstraction operator. Proc. of the Workshop on Reasoning with Uncertainty in Robotics, Aug 2003, Acapulco (MX), France. ⟨inria-00182081⟩

Pierre Bessiere, Louis-Jean Boë, Nathalie Vallée. When Ruhlen "Mother Tongue" Theory Meets the Null Hypothesis. --, 2003, France. ⟨hal-00089210⟩

Ronan Le Hy, Pierre Bessiere, Olivier Lebeltel, David Bellot. Learning Bayesian Behaviours for Videogame Characters. 2003. ⟨hal-00089211⟩

Cédric Pradalier, Jorje Hermosillo, Carla Koike, Christophe Braillon, Pierre Bessiere, et al.. Safe and Autonomous Navigation for a Car-Like Robot Among Pedestrian. IARP Int. Workshop on Service, Assistive and Personal Robots, Oct 2003, Madrid (ES), France. ⟨inria-00182084⟩

Carla Koike, Cédric Pradalier, Pierre Bessiere, Emmanuel Mazer. Proscriptive Bayesian Programming Application for Collision Avoidance. --, 2003, France. pp.X. ⟨hal-00019260⟩

Christophe Coué, Thierry Fraichard, Pierre Bessiere, Emmanuel Mazer. Using Bayesian Programming for Multi-Sensor Data Fusion in Automotive Applications. --, 2002, France. ⟨hal-00068686⟩

Laurent Métoz, Nathalie Vallée, Isabelle Rousset, Louis-Jean Boë, Pierre Bessiere. Des formes phonétiques aux proto-formes de la langue originelle. Analyse méthodologique et évaluation des limites. --, 2002, France. pp.37-40. ⟨hal-00089115⟩

Pierre Bessiere, Emmanuel Mazer, Kamel Mekhnacha, Laugier Yann, Franck Leitner. OrthoPilot: Vers une approche Bayésienne de la détermination des centres articulaires. --, 2002, France. ⟨hal-00089250⟩

Jihène Serkhane, Jean-Luc Schwartz, Louis-Jean Boë, B. Davis, Pierre Bessiere, et al.. Etude comparative de vocalisations de bébés humains et de bébés robots. 2002. ⟨hal-00069029⟩

Christophe Coué, Thierry Fraichard, Pierre Bessiere, Emmanuel Mazer. Multi-Sensor Data Fusion Using Bayesian Programming : an Automotive Application. --, 2002, France. ⟨hal-00068793⟩

Christophe Coué, Pierre Bessiere. Chasing an Elusive Target With a Mobile Robot. --, 2001, France. ⟨hal-00019355⟩

Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessiere. A Robotic CAD system using a Bayesian framework. --, 2000, France. pp.1597-1604 (Vol.3). ⟨hal-00004990⟩

Kamel Mekhnacha, Pierre Bessiere, Emmanuel Mazer. A Bayesian framework for geometric uncertainties handling. --, 2000, France. ⟨hal-00019367⟩

Kamel Mekhnacha, Emmanuel Mazer, Pierre Bessiere. A Bayesian CAD system for robotic Applications. --, 2000, France. pp.527-534. ⟨hal-00019362⟩

Olivier Lebeltel, Julien Diard, Pierre Bessiere, Emmanuel Mazer. A Bayesian framework for robotic programming. Twentieth International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt 2000), 2000, Paris, France. ⟨hal-00089153⟩

Pierre Bessiere, Emmanuel Mazer, Kamel Mekhnacha. Méthode probabiliste bayésienne pour la prise en compte des incertitudes géométriques en robotique. 1998. ⟨hal-00089252⟩

Pierre Bessiere, V. Arnaud, Y. Lagoude, P. Pignon. SEXTANT : Système EXpert Tactique Aéro-Naval en Temps actuel. Jun 1998. ⟨hal-00106189⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel, Emmanuel Mazer. Modélisation bayésienne d'interactions robot/environnement téléopérées. 1997. ⟨hal-00089260⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel. Identité fonctionnelle et identité structurelle: illustration sur le développement d'un robot. 1997. ⟨hal-00089259⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel. Wings were not designed to let animals fly. 1997, Vol. 1363; p. 237-250. ⟨hal-00089257⟩

Pierre Bessiere, Emmanuel Mazer, Kamel Mekhnacha. Modeleur probabiliste pour la CAO robotique. 1997. ⟨hal-00089262⟩

Ahmed-Reda Berrah, Hervé Glotin, Rafael Laboissière, Pierre Bessiere, Louis-Jean Boë. From Form to Formation of Phonetic Structures: An evolutionary computing perspective. 1996. ⟨hal-00019460⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel. Contingency as a Motor for Robot Development. 1996. ⟨hal-00089263⟩

Pierre Bessiere, Emmanuel Mazer, Kamel Mekhnacha. Méthode probabiliste bayésienne pour la calibration en robotique. 1996. ⟨hal-00089264⟩

Remis Balaniuk, Emmanuel Mazer, Pierre Bessiere. Function decomposition for acquisition of direct and differential inverse models. --, 1995, France. ⟨hal-00089270⟩

Pierre Bessiere, Juan-Manuel Ahuactzin, Emmanuel Mazer. The "Ariadne's clew" algorithm. --, 1995, France. ⟨hal-00089295⟩

Pierre Bessiere, Emmanuel Mazer, Remis Balaniuk. Fast direct and inverse model acquisition by function decomposition. --, 1995, France. ⟨hal-00089269⟩

Pierre Bessiere, Juan-Manuel Ahuactzin, El-Ghazali Talbi, Emmanuel Mazer. The "Ariadne's clew" Algorithm: Global planning with local methods. 1995. ⟨hal-00089274⟩

Pierre Bessiere, Eric Dedieu. The "Beam in the Bin" an illustration of a probabilistic approach to robotics. 1995. ⟨hal-00089296⟩

Olivier Lebeltel, Pierre Bessiere, Emmanuel Mazer. La poubelle lumineuse : Acquisition probabiliste d'organisation sensori-motrice. 1994. ⟨hal-00089303⟩

Pierre Bessiere, Remis Balaniuk, Emmanuel Mazer. Shape : a method for surface prevision. --, 1994, France. ⟨hal-00089297⟩

Pierre Bessiere, Eric Dedieu, Olivier Lebeltel, Emmanuel Mazer. The "Beam in the Bin" experiment. IRS 94, 1994, Grenoble, France. ⟨hal-00089298⟩

Pierre Bessiere, Eric Dedieu, Emmanuel Mazer, Olivier Lebeltel. The "Beam in the Bin" experiment; an application of Probability as Logic to autonomous robotic. 1994. ⟨hal-00089299⟩

Pierre Bessiere, Eric Dedieu. La caractérisation sensorielle des comportements. 1994. ⟨hal-00089301⟩

Olivier Lebeltel, Pierre Bessiere, Emmanuel Mazer. La poubelle lumineuse : expérience de modélisation quantitative des interactions fonctionnelles sensori-motrices. 1994. ⟨hal-00089304⟩

Pierre Bessiere, Eric Dedieu, Emmanuel Mazer. Representing Robot/Environment Interactions Using Probabilities: the "Beam in the Bin" Experiment. PerAc'94 (From Perception to Action), 1994, Lausanne, Switzerland. ⟨hal-00019461⟩

Pierre Bessiere, Eric Dedieu, Emmanuel Mazer. La modélisation sensorielle : une approche originale de la notion de modélisation dans la programmation des robots. 1994. ⟨hal-00089302⟩

Pierre Bessiere, Olivier Lebeltel. L'ancrage perceptif des symboles ? ... Mais au fait, a-t-on vraiment besoin des symboles ?. Journées "Formation des symboles dans les modèles de la cognition", 1993, Grenoble, France. ⟨hal-00089337⟩

Emmanuel Mazer, Juan-Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessiere, T. Chatroux. Parallel Motion Planning with the Ariadne's Clew Algorithm. 1993, 10 p. ⟨hal-00069055⟩

Juan-Manuel Ahuactzin, El-Ghazali Talbi, T. Chatroux, Pierre Bessiere, Emmanuel Mazer. A massively parallel implementation of the Ariadne's clew algorithm. 1993. ⟨hal-00089335⟩

Emmanuel Mazer, Juan-Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessiere. Robot motion planning with the Ariadne's clew algorithm. 1993. ⟨hal-00089338⟩

Pierre Bessiere, Juan-Manuel Ahuactzin, El-Ghazali Talbi, Emmanuel Mazer. An application of genetic algorithm to robotics: the "Ariadne's Clew" algorithm. Séminaire CARNAC (Ecole Polytechnique Fédérale de Lausanne), 1993, Lausanne, Switzerland. ⟨hal-00089336⟩

Emmanuel Mazer, Juan-Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessiere. The Ariadne's clew algorithm; From Animal to Animats. 1992. ⟨hal-00089346⟩

Juan-Manuel Ahuactzin, El-Ghazali Talbi, Pierre Bessiere, Emmanuel Mazer. Using genetic algorithms for robot motion planning. 1992, 5 p. ⟨hal-00069064⟩

Pierre Bessiere, Emmanuel Mazer. Connexionisme et génération de mouvement en robotique. Journées du pôle Rhône-Alpes de sciences cognitives, 1992, Autrans, France. ⟨hal-00089339⟩

El-Ghazali Talbi, Juan-Manuel Ahuactzin, Emmanuel Mazer, Pierre Bessiere. Parallel robot motion planning. 1992. ⟨hal-00089348⟩

Pierre Bessiere. Toward a synthetic cognitive paradigm: probabilistic inference. 1991, 9 p. ⟨hal-00089208⟩

Pierre Bessiere. A parallel genetic Boltzmann machine. 1991. ⟨hal-00089350⟩

El-Ghazali Talbi, Pierre Bessiere. Genetic parallel algorithm: performances and applications. 1991. ⟨hal-00089352⟩

Vincent Rialle, M. Ohayon, Bernard Amy, Pierre Bessiere. Medical knowledge modeling in a symbolic-connectionist perspective. sdf, 1991, France. pp.Vol. 13 - N°3. ⟨hal-00089358⟩

Pierre Bessiere. Genetic algorithms applied to formal neural networks: parallel genetic implementation of a Boltzmann machine and associated robotic experimentations. 1991, 5 p. ⟨hal-00089193⟩

El-Ghazali Talbi, Pierre Bessiere. A parallel genetic algorithm for the graph partitioning problem. 1991, 9 p. ⟨hal-00089203⟩

Pierre Bessiere. Les algorithmes génétiques parallèles. Séminaire AFCET "Combinatoire", 1991, Paris, France. ⟨hal-00089351⟩

Pierre Bessiere, Ali Chams, Traian Muntean, Philippe Chol. Un modèle de machine abstraite pour la programmation des réseaux de neurones formels. 1990. ⟨hal-00089425⟩

Pierre Bessiere. Système formel et inférence probabiliste. Workshop "Modèles symboliconnexionistes", 1990, Paris, France. ⟨hal-00089353⟩

Pierre Bessiere, A. Chams, Traian Muntean. A virtual machine model for Artificial Neural Network programming. 1990. ⟨hal-00089359⟩

Pierre Bessiere. Un possible paradigme synthétique pour le connexionisme: l'Inférence Probabiliste. 1990. ⟨hal-00089419⟩

Pierre Bessiere, P. Fondanèche, P. Grosjean. SAFRAN : Système d'Aide à la Formalisation de Règles tactiques Aéro-Navales. May 1988. ⟨hal-00106190⟩

Pierre Bessiere, Michael P. Georgeff, Amy L. Lansky. A procedural logic. 1985. ⟨hal-00106198⟩

Pierre Bessiere. Un formalisme simple pour représenter la connaissance dans un contexte de planification multi-agents. Jan 1984. ⟨hal-00106199⟩

Pierre Bessiere, Bruno Dufay. L'Intelligence Artificielle dans l'industrie, à quel prix ?. Nov 1983. ⟨hal-00106203⟩

David Colliaux, Lia Giraud, Claude Yéprémian, Pierre Bessière, Jacques Droulez. Probing models of minimal swimming vehicules in vivo with microalgae phototaxis.. European Conference on Artificial Life 2015, Jul 2015, York, United Kingdom. 2015, ⟨10.7551/978-0-262-33027-5-ch079⟩. ⟨hal-01181141⟩

Alexandre Coninx, Pierre Bessière, Jacques Droulez. Quick and energy-efficient bayesian computing of binocular disparity using stochastic digital signals. 2016. ⟨hal-01366558⟩

Jacques Droulez, David Colliaux, Audrey Houillon, Pierre Bessière. Toward Biochemical Probabilistic Computation. 2014. ⟨hal-01226297⟩

Stéphanie Lefèvre, Christian Laugier, Javier Ibañez-Guzmán, Pierre Bessiere. Modelling Dynamic Scenes at Unsignalised Road Intersections. [Research Report] RR-7604, INRIA. 2011. ⟨inria-00588758⟩

Kamel Mekhnacha, Linda Smail, Juan-Manuel Ahuactzin, Pierre Bessière, Emmanuel Mazer. A unifying framework for exact and approximate Bayesian inference. [Research Report] RR-5797, INRIA. 2006, pp.44. ⟨inria-00070226⟩

Pierre Dangauthier, Pierre Bessiere, Anne Spalanzani. Feature Selection For Self-Supervised Learning. [Technical Report] 2005. ⟨inria-00182037⟩

Pierre Bessiere. Survey: Probabilistic Methodology and Techniques for Artefact Conception and Development. [Research Report] RR-4730, INRIA. 2003. ⟨inria-00077221⟩