Olivier Georgeon
Publications
Publications
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Artificial Enactive Inference in Three-Dimensional WorldCognitive Systems Research, 2024, 86, pp.101234. ⟨10.1016/j.cogsys.2024.101234⟩ |
The Enactive Inference Task in a Spatial EnvironmentCognitive Systems Research, In press, ⟨10.2139/ssrn.4562133⟩ |
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Artificial Interactionism: Avoiding Isolating Perception From Cognition in AIFrontiers in Artificial Intelligence, 2022, 5, ⟨10.3389/frai.2022.806041⟩ |
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A Constructivist Approach and Tool for Autonomous Agent Bottom-up Sequential LearningInternational Journal of Educational and Pedagogical Sciences, 2020, World Academy of Science, Engineering and Technology, 14 (10), pp.886-894 |
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CASH Only: Constitutive Autonomy through Motorsensory Self-ProgrammingCognitive Systems Research, 2019, 58, pp.366-374. ⟨10.1016/j.cogsys.2019.08.006⟩ |
Mastering the Laws of Feedback Contingencies Is Essential to Constructivist Artificial AgentsConstructivist foundations, 2018, 13 (2), pp.300-301 |
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Little AI: Playing a constructivist robotSoftwareX, 2017, 6, pp.161 - 164. ⟨10.1016/j.softx.2017.06.007⟩ |
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Intelligence artificielle sans données ontologiques sur une réalité présupposéeIntellectica - La revue de l’Association pour la Recherche sur les sciences de la Cognition (ARCo), 2016, New approaches in cognitive robotics, 65, pp.143-168 |
Autonomous construction and exploitation of a spatial memory by a self-motivated agentCognitive Systems Research, 2016, 41, pp.1-35. ⟨10.1016/j.cogsys.2016.07.004⟩ |
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Circular Constitution of Observation in the Absence of Ontological DataConstructivist foundations, 2016, 12 (1), pp.17-19 |
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Connaissances et raisonnement sur les traces d'interactionRevue des Sciences et Technologies de l'Information - Série RIA : Revue d'Intelligence Artificielle, 2014, 2-3, 28, pp.375-396. ⟨10.3166/ria.28.375-396⟩ |
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Learning by experiencing versus learning by registeringConstructivist foundations, 2014, 2, 9, pp.211-213 |
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Inverting the Interaction Cycle to Model Embodied AgentsProcedia Computer Science, 2014, 5th Annual International Conference on Biologically Inspired Cognitive Architectures, 2014 BICA, 41, pp.243-248. ⟨10.1016/j.procs.2014.11.109⟩ |
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The Radical Interactionism Conceptual CommitmentJournal of Artificial General Intelligence, 2013, 4 (2), pp.31-36 |
Single agents can be constructivist tooConstructivist foundations, 2013, Computational Approaches to Constructivism, 9 (1), pp.40-42 |
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ECA: An enactivist cognitive architecture based on sensorimotor modelingBiologically Inspired Cognitive Architectures, 2013, 6, pp.46-57. ⟨10.1016/j.bica.2013.05.006⟩ |
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Demonstrating sensemaking emergence in artificial agents: A method and an exampleInternational Journal of Machine Consciousness, 2013, 2, 5, pp.131-144 |
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Supporting activity modelling from activity tracesExpert Systems, 2012, 29 (3), pp.261-275. ⟨10.1111/j.1468-0394.2011.00584.x⟩ |
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An Intrinsically-Motivated Schema Mechanism to Model and Simulate Emergent CognitionCognitive Systems Research, 2012, 15-16, pp.73-92. ⟨10.1016/j.cogsys.2011.07.003⟩ |
Analyzing traces of activity for modeling cognitive schemes of operatorsArtificial Intelligence and Simulation of Behaviour (AISB) Quarterly Bulletin, 2008, 127, pp.1-3 |
Reducing Intuitive-Physics Prediction Error Through PlayingActive Inference 5th International Workshop, General Chair: Tim Verbelen; Local Organization Chair: Riddhi J. Pitliya; Technical Program Chairs: Martijn Wisse, Ivilin Peev Stoianov; Communication Chair: Pablo Lanillos, Sep 2024, Oxford UK, United Kingdom. pp.222-233, ⟨10.1007/978-3-031-77138-5_15⟩ |
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Identifying and Localizing Dynamic Affordances to Improve Interactions with Other Agents in Continuous Environments2025 IEEE International Conference on Development and Learning (ICDL), Sep 2025, Prague, France. pp.1-6, ⟨10.1109/ICDL63968.2025.11204390⟩ |
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Reducing Intuitive-Physics Prediction Error through PlayingInternational Workshop on Active Inference, Sep 2024, Oxford, United Kingdom |
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An Affordance-Based Intersubjectivity Mechanism to Infer the Behaviour of Other Agents2023 IEEE International Conference on Development and Learning (ICDL), Nov 2023, Macau, China. pp.403-408, ⟨10.1109/ICDL55364.2023.10364476⟩ |
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Simultaneous Localization and Active Phenomenon Inference (SLAPI)International Workshop on Self-Supervised learning, Kristinn Thorisson, Jul 2022, Reykjavik, Iceland. pp.77-88 |
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Identifying and localizing dynamic affordances to improve interactions with other agentsIEEE International Conference on Development and Learning (ICDL 2022), IEEE, Sep 2022, Londres, United Kingdom. ⟨10.1109/ICDL53763.2022.9962231⟩ |
Generating Natural Behaviors using Constructivist AlgorithmsInternational Workshop on Self-Supervised Learning, Feb 2020, Boston, United States. pp.5-14 |
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Continuous Learning of Action and State Spaces (CLASS)International Workshop on Self-Supervised Learning, Feb 2020, Boston, United States. pp.15-31 |
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Causality Reconstruction by an Autonomous AgentInternational Conference on Biologically Inspired Cognitive Architectures, Aug 2018, Prague, Czech Republic. pp.347-354, ⟨10.1007/978-3-319-99316-4_46⟩ |
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Developmental-AI MOOC AssessmentEuropean Stakeholder Summit on experience and best practices in and around MOOCs, Feb 2016, Graz, Austria. pp.539-543 |
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Modeling Biological Agents Beyond the Reinforcement Learning ParadigmInternational Conference on Biologically Inspired Cognitive Architecture, Nov 2015, Lyon, France. pp.17-22, ⟨10.1016/j.procs.2015.12.179⟩ |
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Constructing Phenomenal Knowledge in an Unknown Noumenal RealityInternational Conference on Biologially Inspired Cognitive Architecture, Nov 2015, Lyon, France. ⟨10.1016/j.procs.2015.12.177⟩ |
Autonomous object modeling based on affordances for spatial organization of behaviorInternational joint conference on development and learning and on epigenetic robotics, Oct 2014, Gênes, Italy. pp.94-99 |
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Interaction-Based Space Representation for Environment-Agnostic AgentsALA2013, Adaptive Learning Agents workshop, at AAMAS2013, 12th International Conference on Autonomous Agents and Multiagent Systems, May 2013, Saint Paul, Minnesota, United States. pp.1-8 |
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Inferring Actions and Observations from InteractionsWorkshop on Goal Reasoning at Advances in Cognitive Systems (ACS2013), Dec 2013, Baltimore, ML, United States. pp.26-35 |
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An Enactive Approach to Autonomous Agent and Robot LearningJoint International Conference on Development and Learning and on Epigenetic Robotics, Aug 2013, Osaka, Japan. pp.1-6, ⟨10.1109/DevLrn.2013.6652527⟩ |
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Trace-Based Reasoning - Modeling interaction traces for reasoning on experiencesThe 26th International FLAIRS Conference, May 2013, St. Pete Beach, Florida, United States. pp.1-15 |
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Designing Environment-Agnostic AgentsALA2012, Adaptive Learning Agents workshop, at AAMAS2012, 11th International Conference on Autonomous Agents and Multiagent Systems, Jun 2012, Valencia, Spain. pp.25-32 |
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Implementing Spatial Awareness in an Environment-Agnostic AgentConference on Behavior Representation in Modeling and Simulation BRIMS2012, Mar 2012, Amelia Island, Floride, United States. pp.62-69 |
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The Small Loop Problem: A Challenge for Artificial Emergent CognitionBiologically Inspired Cognitive Architectures, Oct 2012, Palermo, Italy. pp.137-144, ⟨10.1007/978-3-642-34274-5_27⟩ |
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Interactional Motivation in Artificial Systems: Between Extrinsic and Intrinsic MotivationJoint International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Nov 2012, San Diego, CA, United States. pp.1-2, ⟨10.1109/DevLrn.2012.6400833⟩ |
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A Model and simulation of Early-Stage Vision as a Developmental Sensorimotor ProcessArtificial Intelligence Applications and Innovations, Sep 2011, Corfu, Greece. pp.11-16, ⟨10.1007/978-3-642-23960-1_2⟩ |
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Early-Stage Vision of Composite Scenes for Spatial Learning and NavigationFirst Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, Aug 2011, Frankfurt am Main, Germany. pp.224-229, ⟨10.1109/DEVLRN.2011.6037348⟩ |
An Algorithm for Self-Motivated Hierarchical Sequence LearningInternational Conference on Cognitive Modeling, Aug 2010, Philadelphia, PA, United States. pp.73-78 |
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Process Modeling for the Study of Non-State Political Violencethe 19th Annual Conference on Behavior Representation in Modeling Simulation (BRIMS), Mar 2010, Charleston, NC, United States. pp.240-247 |
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Modeling Bottom-Up Learning from Activity in Soar18th Annual Conference on Behavior Representation in Modeling and Simulation (BRIMS), Mar 2009, Sundance, Utah, United States. pp.65-72 |
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The quality of behavioral and environmental indicators used to infer the intention to change lanesInternational Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, Jul 2007, Stevenson, United States. pp.1-7 |
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Creating Cognitive Models from Activity Analysis: A Knowledge Engineering Approach to Car Driver Modeling8th International Conference on Cognitive Modeling (ICCM 2007), Jul 2007, Ann Arbor, MI, United States. pp.26 |
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Abstract: un outil et une méthodologie pour analyser une activité humaine médiée par un artefact technique complexeIngéniérie des Connaissances. Semaine de la connaissance, Jun 2006, Nantes, France |
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Analyzing behavioral data for refining cognitive models of operatorPhilosophies and Methodologies for Knowledge Discovery, Seventeenth International Workshop on Database and Expert Systems Applications, Sep 2006, Krakow, Poland. pp.588-592 |
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Driver behaviour modelling and cognitive engineering tools development in order to assess driver sitation awarenessInternational Workshop on Modelling Driver Behaviour in Automotive Environments., May 2005, Ispra, Italy. pp.236-241 |
Analyse de traces d'activité pour la modélisation cognitive2008 |