A Procedural Logic. - Michael P. Georgeff; Amy L. Lansky; Pierre Bessière (IJCAI, 1985)

A parallel genetic algorithm for the graph partitioning problem. - El-Ghazali Talbi; Pierre Bessière (ICS, 1991)

Parallel Robot Motion Planning in a Dynamic Environment. - El-Ghazali Talbi; Pierre Bessière; Juan Manuel Ahuactzin; Emmanuel Mazer (CONPAR, 1992)

Using Genetic Algorithms for Robot Motion Planning. - Juan Manuel Ahuactzin; El-Ghazali Talbi; Pierre Bessière; Emmanuel Mazer (ECAI, 1992)

The "Ariadne's clew" algorithm: global planning with local methods. - Pierre Bessière; Juan Manuel Ahuactzin; El-Ghazali Talbi; Emmanuel Mazer (IROS, 1993)

Parallel Motion Planning with the Ariadne's Clew Algorithm. - Emmanuel Mazer; Juan Manuel Ahuactzin; El-Ghazali Talbi; Pierre Bessière; T. Chatroux (ISER, 1993)

Faust Direct and Inverse Model Acquisition by Function Decomposition. - Remis Balaniuk; Emmanuel Mazer; Pierre Bessière (ICRA, 1995)

A Parallel Genetic Algorithm Applied to the Mapping Problem. - El-Ghazali Talbi; Pierre Bessière (Applications on Advanced Architecture Computers, 1996)

Wings Were Not Designed to Let Animals Fly. - Eric Dedieu; Olivier Lebeltel; Pierre Bessière (Artificial Evolution, 1997)

The Ariadne's Clew Algorithm. - Emmanuel Mazer; Juan Manuel Ahuactzin; Pierre Bessière (J. Artif. Intell. Res., 1998)

Vers une THéOrie probabiliste des SystèMES sensori-moteurs. - Pierre Bessière (2000)

A robotic CAD system using a Bayesian framework. - Kamel Mekhnacha; Emmanuel Mazer; Pierre Bessière (IROS, 2000)

Chasing an elusive target with a mobile robot. - Christophe Coué; Pierre Bessière (IROS, 2001)

The design and implementation of a Bayesian CAD modeler for robotic applications. - Kamel Mekhnacha; Emmanuel Mazer; Pierre Bessière (Adv. Robotics, 2001)

Multi-sensor data fusion using Bayesian programming : an automotive application. - Christophe Coué; Thierry Fraichard; Pierre Bessière; Emmanuel Mazer (IROS, 2002)

Bayesian Modeling and Reasoning for Real World Robotics: Basics and Examples. - David Bellot; Roland Siegwart; Pierre Bessière; Adriana Tapus; Christophe Coué; Julien Diard (Embodied Artificial Intelligence, 2003)

Using bayesian programming for multi-sensor multi-target tracking in automotive applications. - Christophe Coué; Thierry Fraichard; Pierre Bessière; Emmanuel Mazer (ICRA, 2003)

Approximate Discrete Probability Distribution Representation Using a Multi-Resolution Binary Tree. - David Bellot; Pierre Bessière (ICTAI, 2003)

Proscriptive Bayesian programming application for collision avoidance. - Carla Koike; Cédric Pradalier; Pierre Bessière; Emmanuel Mazer (IROS, 2003)

Expressing Bayesian fusion as a product of distributions: applications in robotics. - Cédric Pradalier; Francis Colas; Pierre Bessière (IROS, 2003)

A Theoretical Comparison of Probabilistic and Biomimetic Models of Mobile Robot Navigation. - Julien Diard; Pierre Bessière; Emmanuel Mazer (ICRA, 2004)

Hierarchies of Probabilistic Models of Navigation: the Bayesian Map and the Abstraction Operator. - Julien Diard; Pierre Bessière; Emmanuel Mazer (ICRA, 2004)

Perceptual Navigation around a Sensori-motor Trajectory. - Cédric Pradalier; Pierre Bessière (ICRA, 2004)

An Autonomous Car-like Robot Navigating Safely among Pedestrians. - Cédric Pradalier; Jorge Hermosillo Valadez; Carla Koike; Christophe Braillon; Pierre Bessière; Christian Laugier (ICRA, 2004)

Driving on a Known Sensori-Motor Trajectory with a Car-like Robot. - Cédric Pradalier; Pierre Bessière; Christian Laugier (ISER, 2004)

Bayesian Robot Programming. - Olivier Lebeltel; Pierre Bessière; Julien Diard; Emmanuel Mazer (Auton. Robots, 2004)

Teaching Bayesian behaviours to video game characters. - Ronan Le Hy; Anthony Arrigoni; Pierre Bessière; Olivier Lebeltel (Robotics Auton. Syst., 2004)

Programmation bayésienne des robots. - Olivier Lebeltel; Pierre Bessière; Julien Diard; Emmanuel Mazer (Rev. d'Intelligence Artif., 2004)

Auto-supervised learning in the Bayesian Programming Framework. - Pierre Dangauthier; Pierre Bessière; Anne Spalanzani (ICRA, 2005)

Merging probabilistic models of navigation: the Bayesian map and the superposition operator. - Julien Diard; Pierre Bessière; Emmanuel Mazer (IROS, 2005)

Learning Bayesian models of sensorimotor interaction: from random exploration toward the discovery of new behaviors. - Éva Simonin; Julien Diard; Pierre Bessière (IROS, 2005)

The CyCab: a car-like robot navigating autonomously and safely among pedestrians. - Cédric Pradalier; Jorge Hermosillo Valadez; Carla Koike; Christophe Braillon; Pierre Bessière; Christian Laugier (Robotics Auton. Syst., 2005)

Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application. - Christophe Coué; Cédric Pradalier; Christian Laugier; Thierry Fraichard; Pierre Bessière (Int. J. Robotics Res., 2006)

A unified probabilistic model of the perception of three-dimensional structure from optic flow. - Francis Colas; Jacques Droulez; Mark Wexler; Pierre Bessière (Biol. Cybern., 2007)

Exact and approximate inference in ProBT. - Kamel Mekhnacha; Juan Manuel Ahuactzin; Pierre Bessière; Emmanuel Mazer; Linda Smail (Rev. d'Intelligence Artif., 2007)

Probability as an Alternative to Logic for Rational Sensory-Motor Reasoning and Decision. - Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Basic Concepts of Bayesian Programming. - Pierre Bessière; Olivier Lebeltel (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Bayesian Modelling of Perception of Structure from Motion. - Francis Colas; Pierre Bessière; Jacques Droulez; Mark Wexler (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Bayesian Maps: Probabilistic and Hierarchical Models for Mobile Robot Navigation. - Julien Diard; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Playing to Train Your Video Game Avatar. - Ronan Le Hy; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Bayesian Approach to Action Selection and Attention Focusing. - Carla Maria Chagas E. Cavalcante Koike; Pierre Bessière; Emmanuel Mazer (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

BCAD: A Bayesian CAD System for Geometric Problems Specification and Resolution. - Kamel Mekhnacha; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

The CyCab : Bayesian Navigation on Sensory-Motor Trajectories. - Cédric Pradalier; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Building a Talking Baby Robot: A Contribution to the Study of Speech Acquisition and Evolution. - Jihène E. Serkhane; Jean-Luc Schwartz; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

The Bayesian Occupation Filter. - M. K. Tay; Kamel Mekhnacha; Manuel Yguel; Christophe Coué; Cédric Pradalier; Christian Laugier; Thierry Fraichard; Pierre Bessière (Probabilistic Reasoning and Decision Making in Sensory-Motor Systems, 2008)

Bayesian models of eye movement selection with retinotopic maps. - Francis Colas; Fabien Flacher; Thomas Tanner; Pierre Bessière; Benoît Girard 001 (Biol. Cybern., 2009)

Incremental learning of Bayesian sensorimotor models: from low-level behaviours to large-scale structure of the environment. - Julien Diard; Estelle Gilet; Éva Simonin; Pierre Bessière (Connect. Sci., 2010)

Bayesian Modeling of a Human MMORPG Player - Gabriel Synnaeve; Pierre Bessière (CoRR, 2010)

A Bayesian Model for Plan Recognition in RTS Games Applied to StarCraft. - Gabriel Synnaeve; Pierre Bessière (AIIDE, 2011)

A Bayesian model for RTS units control applied to StarCraft. - Gabriel Synnaeve; Pierre Bessière (CIG, 2011)

A Bayesian model for opening prediction in RTS games with application to StarCraft. - Gabriel Synnaeve; Pierre Bessière (CIG, 2011)

Special tactics: A Bayesian approach to tactical decision-making. - Gabriel Synnaeve; Pierre Bessière (CIG, 2012)

Risk based Government Audit Planning using Naïve Bayes Classifiers. - Remis Balaniuk; Pierre Bessière; Emmanuel Mazer; Paulo Roberto Cobbe (KES, 2012)

COSMO, un modèle bayésien de la communication parlée : application à la perception des syllabes (COSMO, a Bayesian model of speech communication, applied to syllable perception) [in French]. - Raphaël Laurent; Jean-Luc Schwartz; Pierre Bessière; Julien Diard (JEP-TALN-RECITAL 2012, 2012)

A Dataset for StarCraft AI & an Example of Armies Clustering - Gabriel Synnaeve; Pierre Bessière (CoRR, 2012)

A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables. - Raphaël Laurent; Jean-Luc Schwartz; Pierre Bessière; Julien Diard (INTERSPEECH, 2013)

Corruption risk analysis using semi-supervised naïve Bayes classifiers. - Remis Balaniuk; Pierre Bessière; Emmanuel Mazer; Paulo Roberto Cobbe (Int. J. Reason. based Intell. Syst., 2013)

Spatial Memory of Paths Using Circular Probability Distributions: Theoretical Properties, Navigation Strategies and Orientation Cue Combination. - Julien Diard; Pierre Bessière; Alain Berthoz (Spatial Cogn. Comput., 2013)

A Bayesian Framework for Active Artificial Perception. - João Filipe Ferreira; Jorge Lobo 002; Pierre Bessière; Miguel Castelo-Branco; Jorge Dias 001 (IEEE Trans. Cybern., 2013)

Robust sequence storage in bistable oscillators. - David Colliaux; Pierre Bessière; Jacques Droulez (NANOARCH, 2014)

Probing models of minimal swimming vehicules in vivo with microalgae phototaxis. - David Colliaux; Lia Giraud; Claude Yéprémian; Pierre Bessière; Jacques Droulez (ECAL, 2015)

COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception. - Marie-Lou Barnaud; Julien Diard; Pierre Bessière; Jean-Luc Schwartz (ICDL-EPIROB, 2015)

Toward Biochemical Probabilistic Computation. - Jacques Droulez; David Colliaux; Audrey Houillon; Pierre Bessière (CoRR, 2015)

COSMO ("Communicating about Objects using Sensory-Motor Operations"): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems. - Clément Moulin-Frier; Julien Diard; Jean-Luc Schwartz; Pierre Bessière (J. Phonetics, 2015)

Sensorimotor learning in a Bayesian computational model of speech communication. - Marie-Lou Barnaud; Jean-Luc Schwartz; Julien Diard; Pierre Bessière (ICDL-EPIROB, 2016)

Bayesian sensor fusion with fast and low power stochastic circuits. - Alexandre Coninx; Pierre Bessière; Emmanuel Mazer; Jacques Droulez; Raphaël Laurent; M. Awais Aslam; Jorge Lobo 002 (ICRC, 2016)

Assessing Idiosyncrasies in a Bayesian Model of Speech Communication. - Marie-Lou Barnaud; Julien Diard; Pierre Bessière; Jean-Luc Schwartz (INTERSPEECH, 2016)

Sleep stage classification with stochastic Bayesian inference. - Laurie E. Calvet; Joseph S. Friedman; Damien Querlioz; Pierre Bessière; Jacques Droulez (NANOARCH, 2016)

Bayesian Inference With Muller C-Elements. - Joseph S. Friedman; Laurie E. Calvet; Pierre Bessière; Jacques Droulez; Damien Querlioz (IEEE Trans. Circuits Syst. I Regul. Pap., 2016)

Multiscale Bayesian Modeling for RTS Games: An Application to StarCraft AI. - Gabriel Synnaeve; Pierre Bessière (IEEE Trans. Comput. Intell. AI Games, 2016)

A Bayesian Stochastic Machine for Sound Source Localization. - Raphael Frisch; Raphaël Laurent; Marvin Faix; Laurent Girin; Laurent Fesquet; Augustin Lux; Jacques Droulez; Pierre Bessière; Emmanuel Mazer (ICRC, 2017)

Cell signaling as a probabilistic computer. - David Colliaux; Pierre Bessière; Jacques Droulez (Int. J. Approx. Reason., 2017)

Quick and energy-efficient Bayesian computing of binocular disparity using stochastic digital signals. - Alexandre Coninx; Pierre Bessière; Jacques Droulez (Int. J. Approx. Reason., 2017)

Approximation enhancement for stochastic Bayesian inference. - Joseph S. Friedman; Jacques Droulez; Pierre Bessière; Jorge Lobo 002; Damien Querlioz (Int. J. Approx. Reason., 2017)

COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning. - Marie-Lou Barnaud; Julien Diard; Pierre Bessière; Jean-Luc Schwartz (INTERSPEECH, 2018)

Design of Stochastic Machines Dedicated to Approximate Bayesian Inferences. - Marvin Faix; Raphaël Laurent; Pierre Bessière; Emmanuel Mazer; Jacques Droulez (IEEE Trans. Emerg. Top. Comput., 2019)

A Memristor-Based Bayesian Machine. - Kamel-Eddine Harabi; Tifenn Hirtzlin; Clement Türck; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Jean-Michel Portal; Marc Bocquet; Damien Querlioz (CoRR, 2021)

Energy-Efficient Bayesian Inference Using Near-Memory Computation with Memristors. - Clement Türck; Kamel-Eddine Harabi; Tifenn Hirtzlin; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (DATE, 2023)

The Logarithmic Memristor-Based Bayesian Machine. - Clement Türck; Kamel-Eddine Harabi; Adrien Pontlevy; Théo Ballet; Tifenn Hirtzlin; Elisa Vianello; Raphaël Laurent; Jacques Droulez; Pierre Bessière; Marc Bocquet; Jean-Michel Portal; Damien Querlioz (CoRR, 2024)