Olivier Sigaud
154
Documents
Presentation
<http://people.isir.upmc.fr/sigaud>
<http://people.isir.upmc.fr/sigaud/en>
Publications
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Co-Apprentissage Humain-Machine: Cas d'Étude en Acquisition de Compétences Motrices34ème conférence Francophone sur l'Interaction Humain-Machine, Apr 2023, Troyes, France
Conference papers
hal-03992717v1
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Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal EnvironmentsThirty-sixth Conference on Neural Information Processing Systems (NeurIPS 2022), Nov 2022, New Orleans, United States
Conference papers
hal-03828002v1
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EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RLNeurIPS 2022 - Thirty-sixth Conference on Neural Information Processing Systems, Nov 2022, Nouvelle-Orléans, United States
Conference papers
hal-03902423v1
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Neural Architecture Search for Fracture Classification29th IEEE International Conference on Image Processing (ICIP 2022), Oct 2022, Bordeaux, France
Conference papers
hal-03753702v1
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DIVERSITY POLICY GRADIENT FOR SAMPLE EFFI-CIENT QUALITY-DIVERSITY OPTIMIZATIONWorkshop on Agent Learning in Open-Endedness (ALOE) at ICLR 2022, 2022, virtual, Vatican City
Conference papers
hal-03753541v1
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Teaching a Robot with Unlabeled Instructions: The TICS ArchitectureAAMAS 2021, May 2021, London (virtual), United Kingdom
Conference papers
hal-03224574v1
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Grounding Language to Autonomously-Acquired Skills via Goal GenerationICLR 2021 - Ninth International Conference on Learning Representation, May 2021, Vienna / Virtual, Austria
Conference papers
hal-03121146v1
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First-Order and Second-Order Variants of the Gradient Descent in a Unified Framework30th International Conference on Artificial Neural Networks - ICANN 2021, Sep 2021, Bratislava, Slovakia. pp.197-208, ⟨10.1007/978-3-030-86340-1_16⟩
Conference papers
hal-03404369v1
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Selection-Expansion: A Unifying Framework for Motion-Planning and Diversity Search Algorithms30th International Conference on Artificial Neural Networks - ICANN 2021, Sep 2021, Bratislava, Slovakia. pp.568-579, ⟨10.1007/978-3-030-86380-7_46⟩
Conference papers
hal-03404366v1
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Tirl: enriching actor-critic RL with non-expert human teachers and a trust modelThe 29th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN, 2020, Napoli, Italy
Conference papers
hal-03124262v1
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PBCS: Efficient Exploration and Exploitation Using a Synergy Between Reinforcement Learning and Motion PlanningArtificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.295-307, ⟨10.1007/978-3-030-61616-8_24⟩
Conference papers
hal-03080918v1
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Understanding Failures of Deterministic Actor-Critic with Continuous Action Spaces and Sparse RewardsArtificial Neural Networks and Machine Learning – ICANN 2020, Sep 2020, Bratislava, Slovakia. pp.308-320, ⟨10.1007/978-3-030-61616-8_25⟩
Conference papers
hal-03080925v1
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Modélisation des stratégies de génération de choix variables chez la sourisConférence Nationale en Intelligence Artificielle, Jul 2019, Toulouse, France
Conference papers
hal-02328815v1
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Learning Compositional Neural Programs with Recursive Tree Search and PlanningAdvances in Neural Information Processing Systems 32 (NeurIPS 2019), Dec 2019, Vancouver, Canada
Conference papers
hal-03080949v1
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CURIOUS: Intrinsically Motivated Modular Multi-Goal Reinforcement LearningICML 2019 - Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Beach, United States
Conference papers
hal-01934921v2
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A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning AlgorithmsICLR Worskhop on Reproducibility, May 2019, Nouvelle-Orléans, United States
Conference papers
hal-02369859v1
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CEM-RL: Combining evolutionary and gradient-based methods for policy search7th International Conference on Learning Representations, ICLR 2019, May 2019, New Orleans, United States
Conference papers
hal-03753707v1
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Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal ExplorationICLR2018 - 6th International Conference on Learning Representations, Apr 2018, Vancouver, Canada
Conference papers
hal-01891758v1
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GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning AlgorithmsInternational Conference on Machine Learning (ICML), Jul 2018, Stockholm, Sweden
Conference papers
hal-01890151v1
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Combining artificial curiosity and tutor guidance for environment explorationWorkshop on Behavior Adaptation, Interaction and Learning for Assistive Robotics at IEEE RO-MAN 2017, Aug 2017, Lisbon, Portugal
Conference papers
hal-01581363v1
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Tensor based knowledge transfer across skill categories for robot controlInternational Joint Conference in Artificial Intelligence (IJCAI), 2017, Melbourne, Australia. pp.1-7, ⟨10.24963/ijcai.2017/484⟩
Conference papers
hal-03124263v1
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GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning AlgorithmsJournées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2018), Jul 2017, Nancy, France
Conference papers
hal-01840576v1
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The Successor Representation as a model of behavioural flexibilityJournées Francophones sur la Planification, la Décision et l'Apprentissage pour la conduite de systèmes (JFPDA 2017), Jul 2017, Caen, France
Conference papers
hal-01576352v1
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Training a robot with evaluative feedback and unlabeled guidance signalsRO-MAN, 2016, New York, United States. pp.261-266, ⟨10.1109/ROMAN.2016.7745140⟩
Conference papers
hal-03124264v1
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Efficient Reinforcement Learning for Humanoid Whole-Body ControlIEEE-RAS International Conference on Humanoid Robots, Nov 2016, Cancun, Mexico
Conference papers
hal-01377831v1
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Socially Guided XCSGECCO Companion '15 Proceedings of the Companion Publication of the 2015 Annual Conference on Genetic and Evolutionary Computation, Jul 2015, Madrid, Spain. pp.1021-1028, ⟨10.1145/2739482.2768452⟩
Conference papers
hal-02423004v1
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Social-Task Learning for HRIInternational Conference on Social Robotics, Oct 2015, Paris, France. pp.472-481, ⟨10.1007/978-3-319-25554-5_47⟩
Conference papers
hal-02422990v1
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Socially guided xcs: using teaching signals to boost learningGECCO (Companion), 2015, Madrid, Spain. pp.1021-1028, ⟨10.1145/2739482.2768452⟩
Conference papers
hal-03124265v1
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Learning a Repertoire of Actions with Deep Neural NetworksJoint International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EpiRob), Oct 2014, Italy. 6 p
Conference papers
hal-01065741v1
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Robot initiative increases the rhythm of interaction in a team learning taskTiming in Human-Robot interaction, Workshop of the 9th ACM/IEEE Int. Conf. on Human-robot interaction - HRI, 2014, Bielefeld, Germany
Conference papers
hal-03124266v1
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Non-linear regression algorithms for motor skill acquisition: a comparison9èmes Journées Francophones de Planification, Décision et Apprentissage, May 2014, Liège, Belgium
Conference papers
hal-01090848v1
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Multiple Task Optimization using Dynamical Movement Primitives for Whole-Body Reactive ControlIEEE-RAS International Conference on Humanoid Robots, Nov 2014, Madrid, Spain
Conference papers
hal-01077753v1
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Learning object names through shared attentionIROS - Int. Workshop on Developmental Social Robotics, 2013, Madrid, Spain. pp.1-6
Conference papers
hal-03124267v1
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Gated Autoencoders with Tied Input WeightsInternational Conference on Machine Learning, 2013, United States
Conference papers
hal-00817035v1
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Learning to recognize objects through curiosity-driven manipulation with the iCub humanoid robotJoint IEEE International Conference Developmental Learning and Epigenetic Robotics (ICDL-EPIROB), Aug 2013, Osaka, Japan. pp.1--8, ⟨10.1109/DevLrn.2013.6652525⟩
Conference papers
hal-00919674v1
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Learning Compact Parameterized Skills with a Single RegressionIEEE-RAS International Conference on Humanoid Robots, 2013, Atlanta, United States
Conference papers
hal-00922135v1
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Policy Improvement: Between Black-Box Optimization and Episodic Reinforcement LearningJournées Francophones Planification, Décision, et Apprentissage pour la conduite de systèmes, 2013, Lille, France
Conference papers
hal-00922133v1
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Cues for making a humanoid child more ''human-like'' during social learning tasksIROS - Int. Workshop Towards social humanoid robots: what makes interaction human-like?, 2013, Tokyo, Japan. pp.1-6
Conference papers
hal-03124268v1
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Adaptation de la matrice de covariance pour l'apprentissage par renforcement directJournées Francophones sur la planification, la décision et l'apprentissage pour le contrôle des systèmes - JFPDA 2012, May 2012, Villers-lès-Nancy, France. 12 p
Conference papers
hal-00736310v1
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Social Coordination Assessment: Distinguishing between Shape and TimingMultimodal Pattern Recognition of Social Signals in Human-Computer-Interaction, Nov 2012, Tsukuba, Japan. pp.9-18, ⟨10.1007/978-3-642-37081-6_2⟩
Conference papers
hal-02423165v1
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Which Temporal Difference Learning algorithm best reproduces dopamine activity in a multi-choice task?International Conference on Simulation of Adaptive Behaviour (SAB 2012), Aug 2012, Odense, Denmark. pp.289-298, ⟨10.1007/978-3-642-33093-3_29⟩
Conference papers
hal-00731475v1
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Comparaison expérimentale d'algorithmes de régression pour l'apprentissage de modèles cinématiques du robot humanoïde iCubConférence Francophone sur l'Apprentissage Automatique - CAp 2012, Laurent Bougrain, May 2012, Nancy, France. 16 p
Conference papers
hal-00745471v1
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Comparaison expérimentale d'algorithmes de régression pour l'apprentissage de modèles cinématiques du robot humanoïde iCubConférence Francophone sur l'Apprentissage Automatique, May 2012, Nancy, France. pp.95-110
Conference papers
hal-00719977v1
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Towards fast and adaptive optimal control policies for robots: A direct policy search approachRobotica 2012, 2012, Guimaraes, Portugal. pp.21-26
Conference papers
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Perception and human interaction for developmental learning of objects and affordancesProc. of the 12th IEEE-RAS International Conference on Humanoid Robots - HUMANOIDS, Nov 2012, Santa Monica, United States. ⟨10.1109/HUMANOIDS.2012.6651528⟩
Conference papers
hal-00755297v1
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Autonomous Online Learning of Velocity Kinematics on the iCub: a Comparative StudyIEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2012, Vilamoura, Portugal. To appear
Conference papers
hal-00719964v1
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Multimodal People Engagement with iCubBiologically Inspired Cognitive Architectures, Oct 2012, Palermo, Italy. pp.59-64, ⟨10.1007/978-3-642-34274-5_16⟩
Conference papers
hal-02423157v1
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Learning Velocity Kinematics: Experimental Comparison of On-line Regression AlgorithmsRobotica, Apr 2012, Guimaraes, Portugal. pp.15-20
Conference papers
hal-00719975v1
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Reaching optimally over the workspace: a machine learning approachThe Fourth IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics, Jun 2012, Roma, Italy. pp.1128-1133, ⟨10.1109/BioRob.2012.6290743⟩
Conference papers
hal-00743371v1
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Path Integral Policy Improvement with Covariance Matrix AdaptationProceedings of the 29th International Conference on Machine Learning (ICML), Jun 2012, Edinbourg, United Kingdom. pp.0-0
Conference papers
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XCSF with local deletion: preventing detrimental forgettingInternational Workshop on Learning Classifier Systems, 2011, Dublin, Ireland. pp.1-8
Conference papers
hal-03124269v1
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Apprentissage de politiques efficaces avec XCSF et CEPSJFPDA 2011, 2011, Rouen, France. pp.298-310
Conference papers
hal-00703774v1
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Learning Cost-Efficient Control Policies with XCSF: Generalization Capabilities and Further ImprovementGECCO 2011, 2011, Dublin, Ireland. pp.1235-1242
Conference papers
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Learning the velocity kinematics of iCub for model-based control: XCSF versus LWPR11th IEEE-RAS International Conference on Humanoid Robots - Humanoids 2011, Oct 2011, Bled, Slovenia. pp.570--575, ⟨10.1109/Humanoids.2011.6100818⟩
Conference papers
hal-00624056v2
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Apprentissage par renforcement appliqué au contrôle moteur : reproduction du principe d'isochronieJFPDA 2010, 2010, Besançon, France. pp.1-11
Conference papers
hal-00703784v1
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Texdyna: hierarchical reinforcement learning in factored mdpsFrom Animals to Animats: Proceedings of the 11th International Conference on Adaptive Behaviour (SAB 2010), 2010, Paris, France. pp.489-500
Conference papers
hal-03124272v1
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A comparative study: function approximation with lwpr and xcsfIWLCS 2010, 2010, Portland, United States. pp.1-8, ⟨10.1145/1830761.1830818⟩
Conference papers
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Characterization of a least effort user-centered trajectory for sit- to-stand assistance user-centered trajectory for sit-to-stand assistanceSymposium on Dynamics modeling and interaction control in virtual and real environments, 2010, Budapest, Hungary. pp.197-204
Conference papers
hal-03124271v1
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Automated discovery of options in factored reinforcement learningProceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, 2009, Montreal, Canada. pp.24-29
Conference papers
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Considering Unseen States as Impossible in Factored Reinforcement LearningEuropean Conference on Machine Learning, Sep 2009, Bled, Slovenia. pp.721-735, ⟨10.1007/978-3-642-04180-8_64⟩
Conference papers
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Transfer of knowledge for a climbing virtual human: a reinforcement learning approachProceedings IEEE International Conference on Robotics and Automation, 2009, Kobe, Japan. pp.2119-2124
Conference papers
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Control of redundant robots using learned models: an operational space control approachIEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2009, Saint Louis, United States. pp.878--885, ⟨10.1109/IROS.2009.5354438⟩
Conference papers
hal-00624322v1
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Un modéle computationnel de l'automatisation motriceDeuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France
Conference papers
hal-00331620v1
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Compacting a rule base into an and/or diagram for game aiGAMEON, 2008, Valencia, Spain. pp.77-85
Conference papers
hal-03124275v1
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Exploiting Additive Structure in Factored MDPs for Reinforcement LearningEuropean Workshop on Reinforcement Learning, Jun 2008, Villeneuve d’Ascq, France. pp.15-26, ⟨10.1007/978-3-540-89722-4_2⟩
Conference papers
hal-01302178v1
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Learning postures through sensorimotor training: a human simulation case studyProceedings of the Seventh International Conference on Epigenetic Robotics, 2007, Rutgers, Piscataway, NJ, Unknown Region. pp.29-36
Conference papers
hal-03124276v1
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Apprentissage par renforcement exploitant la structure additive des MDP factorisésJFPDA 2007 - 2e Journées Francophones Planification, Décision, Apprentissage pour la conduite de système, Jul 2007, Grenoble, France. pp.49-60
Conference papers
hal-01305984v1
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Apprentissage de la structure des processus de décision markoviens factorisés pour l'apprentissage par renforcementJFPDA 2006 - 1ères Journées Francophones sur la Planification, Décision, Apprentissage pour la conduite de systèmes, May 2006, Toulouse, France. pp.89-96
Conference papers
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Learning the Structure of Factored Markov Decision Processes in Reinforcement Learning ProblemsThe 23rd International Conference on Machine Learning, Jun 2006, Pittsburgh, Pennsylvania, United States. pp.257-264, ⟨10.1145/1143844.1143877⟩
Conference papers
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Chi-square Tests Driven Method for Learning the Structure of Factored MDPsThe 22nd conference on Uncertainty in Artificial Intelligence, Jul 2006, Massachusetts Institute of Technology, Cambridge, MA, United States. pp.122-129
Conference papers
hal-01351133v1
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GACS, an Evolutionary Approach to the Spatial Coordination of AgentsAAMAS 2005 - 4th international joint conference on Autonomous agents and multiagent systems, Jul 2005, Utrecht, Netherlands. pp.1109-1110, ⟨10.1145/1082473.1082647⟩
Conference papers
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ATNoSFERES revisitedGECCO 2005 - 7th annual conference on Genetic and Evolutionary Computation Conference, , ACM SIGEVO, Jun 2005, Washington DC, United States. pp.1867-1874, ⟨10.1145/1068009.1068324⟩
Conference papers
inria-00000158v1
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Towards a Reinforcement Learning Module for Navigation in Video GamesECML 2005 Workshop on Reinforcement Learning in Non-Stationary Environments, Oct 2005, Porto, Portugal. pp.1-12
Conference papers
hal-01491687v1
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A Michigan style architecture for learning finite state controllers: a first step7th International Workshop on Learning Classifier Systems, Jun 2004, Seattle, WA, United States
Conference papers
hal-01498518v1
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BASC, a Bottom-up Approach to automated design of Spatial CoordinationSAB 2004 - 8th International Conference on Simulation of Adaptive Behavior, Jul 2004, Los Angeles, CA, United States. pp.435-444
Conference papers
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Anticipation of Periodic Movements in Real Time 3D EnvironmentsABiALS 2004 - 2nd Workshop of Anticipatory Behavior in Adaptive Learning Systems, Jul 2004, Los Angeles, CA, United States. pp.51-61
Conference papers
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Using XCS to build adaptive agents4th Symposium on Adaptive Agents and Multi-Agent Systems (AAMAS-4), AISB convention, Mar 2004, Leeds, United Kingdom. pp.101-106
Conference papers
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Improving MACS thanks to a comparison with 2TBNsGECCO 2004 - Genetic and Evolutionary Computation Conference, Jun 2004, Seattle, WA, United States. pp.810-823, ⟨10.1007/978-3-540-24855-2_95⟩
Conference papers
hal-01501406v1
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Designing Efficient Exploration with MACS: Modules and Function ApproximationGenetic and Evolutionary Computation Conference 2003 (GECCO03), Jul 2003, Chicago, IL, United States. pp.1882-1893, ⟨10.1007/3-540-45110-2_85⟩
Conference papers
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Apprentissage par renforcement indirect dans les systèmes de classeursTroisièmes Journées Nationales sur Processus Décisionnel de Markov et Intelligence Artificielle - PDMIA’03, 2003, Caen, France
Conference papers
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An Experimental Comparison between ATNoSFERES and ACS6th International Workshop on Learning Classifier Systems (IWLCS'2003), 2003, Chicago, United States. pp.144-160
Conference papers
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A Comparison between ATNoSFERES and XCSMGECCO 2002: Genetic and Evolutionary Computation Conference, Jul 2002, New York, United States. pp.926-933
Conference papers
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Spatial Coordination through Social Potential Fields and Genetic Algorithms7th International Conference on Simulation of Adaptive Behavior, 2002, Edimburg, United Kingdom. pp.389-390
Conference papers
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Further Comparison between ATNoSFERES and XCSMIWLCS 2002 - 5th International Workshop on Learning Classifier Systems, Sep 2002, Granada, Spain. pp.99-117, ⟨10.1007/978-3-540-40029-5_7⟩
Conference papers
hal-00860450v1
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Adding a Generalization Mechanism to YACSGECCO 2001 - 3rd Annual Conference on Genetic and Evolutionary Computation, Jul 2001, San Francisco, CA, United States. pp.951-957
Conference papers
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YACS : Combining Anticipation and Dynamic Programming in CLassifier SystemsIWLCS 2000 - 3rd International Workshop on Learning Classifier Systems, Sep 2000, Paris, France. pp.52-69, ⟨10.1007/3-540-44640-0_5⟩
Conference papers
hal-01571787v1
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Using Classifier Systems as Adaptive Expert Systems for ControlIWLCS 2000 - 3rd International Workshop on Learning Classifier Systems, Sep 2000, Paris, France. pp.138-157, ⟨10.1007/3-540-44640-0_10⟩
Conference papers
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The use of roles in a multiagent adaptive simulation14th European Conference in Artificial Intelligence, Workshop on Balancing reactivity and Social Deliberation in Multiagent Systems, Aug 2000, Berlin, Germany
Conference papers
hal-01573199v1
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Markov Decision Processes in Artificial IntelligenceOlivier Sigaud and Olivier Buffet. ISTE Ltd and John Wiley & Sons Inc, pp.455, 2010, 978-1-84821-167-4
Books
inria-00432735v1
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Processus décisionnels de Markov en intelligence artificielleLavoisier - Hermes Science Publications, 2 - méthodes avancées et applications, pp.256, 2008, IC2 - informatique et systèmes d'information, Bernard Dubuisson - Jean-Charles Pomerol, 978-2746220584
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inria-00326860v1
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Processus décisionnels de Markov en intelligence artificielleLavoisier - Hermes Science Publications, 1 - principes généraux et applications, pp.258, 2008, IC2 - informatique et systèmes d'information, Bernard Dubuisson - Jean-Charles Pomerol, 978-2746220577
Books
inria-00326864v1
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Anticipatory Behavior in Adaptive Learning SystemsSpringer, 2684, 2003, Lecture Notes in Computer Science, ⟨10.1007/b11711⟩
Books
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Artifical Intelligence and Pattern Recognition, Vision, LearningSpringer. A Guided Tour of Artificial Intelligence Research (P. Marquis, O. Papini, H. Prade, Eds), III, Springer, pp.337-364, 2020
Book sections
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7 : Intelligence artificielle et reconnaissance des formes, vision, apprentissagePanorama de l’intelligence artificielle - Ses bases méthodologiques ses développements - Volume 3 (P. Marquis, O. Papini, H. Prade, eds.), Cépaduès, pp.1165-1195, 2014
Book sections
hal-02286463v1
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Intelligence artificielle et reconnaissance des formes, vision, apprentissage pour la robotiqueL'Intelligence Artificielle : Frontières et Applications, Volume 3, série : Panorama de l'Intelligence Artificielle, Editions CEPADUES, 30 pp, 2014, 9782364930438
Book sections
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Learning Forward Models for the Operational Space Control of Redundant RobotsOlivier Sigaud and Jan Peters. From Motor Learning to Interaction Learning in Robots, Springer, pp.169--192, 2010, Studies in Computational Intelligence, volume 264, ⟨10.1007/978-3-642-05181-4_8⟩
Book sections
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A Two-Level Model of Anticipation-Based Motor Learning for Whole Body MotionGiovanni Pezzulo, Martin V. Butz, Olivier Sigaud and Gianluca Baldassarre. Anticipatory Behavior in Adaptive Learning Systems: From Psychological Theories to Artificial Cognitive System, Springer, pp.229--246, 2009, Lecture Notes in Computer Science Volume 5499, ⟨10.1007/978-3-642-02565-5_13⟩
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hal-00624103v1
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Anticipations, Brains, Individual and Social Behavior: An Introduction to Anticipatory SystemsAnticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, 4520, Springer-Verlag, pp.1-18, 2007, Lecture Notes in Computer Science, 978-3-540-74261-6. ⟨10.1007/978-3-540-74262-3_1⟩
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Internal Models and Anticipations in Adaptive Learning SystemsAnticipatory Behavior in Adaptive Learning Systems, 2684, Springer, pp.86-109, 2003, Lecture Notes in Computer Science, ⟨10.1007/978-3-540-45002-3_6⟩
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hal-01532236v1
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Anticipatory Behavior: Exploiting Knowledge about the Future to Improve Current BehaviorAnticipatory Behavior in Adaptive Learning Systems, 2684, Springer, pp.1-10, 2003, Lecture Notes in Computer Science, ⟨10.1007/978-3-540-45002-3_1⟩
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Vers une approche dynamique de la sélection de l'actionApproche dynamique de la cognition artificielle, Hermès, pp.163-178, 2002
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Being Reactive by Exchanging Roles: an Empirical StudyBalancing reactivity and Social Deliberation in Multiagent Systems, 2103, Springer-Verlag, pp.150-172, 2000, Lecture Notes in Computer Science, ⟨10.1007/3-540-44568-4_10⟩
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Contribution au problème de la sélection de l'action en environnement partiellement observableIntelligence Artificielle Située, Hermès, pp.129-146, 1999
Book sections
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