Chloé Mercier
Présentation
I am a junior research fellow within the Mnemosyne team (Inria, LaBRI, IMN, Bordeaux Neurocampus). My research lies at the interface between computer science, cognitive science, and the humanities, with a focus on education. I completed my PhD at the University of Bordeaux in 2024 with the Mnemosyne lab, in partnership with the LINE lab (Université Côte d'Azur), working on computational models of creative problem solving and how we develop the transversal skills needed in a changing world. I'm now expanding this toward adaptive and inclusive learning environments, drawing on embodied cognition, STEAM (Science, Technology, Engineering, Arts, and Mathematics) approaches, and the conviction that creative practices and open science can help bridge the gender gap in STEM while bringing research closer to real societal and ecological challenges. A dancer myself, I am also drawn to the way movement and embodied experience can reshape how we think about cognition and learning.
Publications
Publications
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An Ontology to Formalize a Creative Problem Solving ActivityIEEE Transactions on Cognitive and Developmental Systems, 2022, pp.1-1. ⟨10.1109/tcds.2022.3210234⟩ |
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Learning with immersive technologies : a VR task to study collaborative learningIHM'24 - 35e Conférence Internationale Francophone sur l'Interaction Humain-Machine, AFIHM; Sorbonne Université, Mar 2024, Paris, France |
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Représenter l'apprentissage humain dans des problèmes ouvertsDataquitaine 2023 - IA, Recherche Opérationnelle & Data Science, Kedge Business School Bordeaux, Mar 2023, Bordeaux, France |
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Ontology as manifold: towards symbolic and numerical artificial embeddingWorkshop on VSA and hyperdimensional computing - Winter 2022 session, Luleå University of Technology, Sweden and UC Berkeley, USA, Jan 2022, Virtual, Sweden |
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Formalizing Problem Solving in Computational Thinking : an Ontology approachIEEE ICDL 2021 – International Conference on Development and Learning 2021, Aug 2021, Beijing, China |
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Ontology as neuronal-space manifold: Towards symbolic and numerical artificial embeddingKRHCAI 2021 Workshop on Knowledge Representation for Hybrid & Compositional AI @ KR2021, Nov 2021, Hanoi, Vietnam |
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Reinforcement Symbolic LearningICANN 2021 - 30th International Conference on Artificial Neural Networks, Sep 2021, Bratislava / Virtual, Slovakia |
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Apprentissage par renforcement sur des connaissances symboliques structurées : modéliser la résolution créative de problèmesCJC-SCo 2022 - Colloque des jeunes chercheur·se·s en sciences cognitives, Apr 2022, Paris, France. |
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The role of cognitive processes in creative problem solving: a computational approach7th annual meeting of the Society for the Neuroscience of Creativity (SfNC 2022), May 2022, Virtual, United States |
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Enseigner et apprendre à l'ère de l'intelligence artificielleCanopé, Livre blanc, 2023 |
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Un MOOC pour initier a l'IA : « Intelligence Artificielle avec Intelligence »Canopé. Enseigner et apprendre à l’ère de l’intelligence artificielle, pp.96, 2023 |
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Aha ! Le cri de la créativité2022 |
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Metrizable symbolic data structure for ill-defined problem solving2024 |
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Algorithmic ersatz for VSA: Macroscopic simulation of Vector Symbolic Architecture2024 |
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Deciphering Cognitive Processes in Creative Problem Solving: A Computational ApproachRR-9555, Inria & Labri, Université de Bordeaux. 2024, pp.26 |
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Modeling Creative Problem-Solving Tasks from a Computational and Neuroeducational ApproachRR-9556, Inria & Labri, Univ. Bordeaux. 2024, pp.27 |
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Representation of belief in relation to randomnessRR-9493, Inria & Labri, Univ. Bordeaux. 2022, pp.20 |
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Développement d'une ontologie pour l'analyse d'observables de l'apprenant dans le contexte d'une tâche avec des robots modulaires[Rapport de recherche] RR-9376, Inria. 2020, pp.48 |
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Modeling cognitive processes within a creative problem-solving task : from symbolic to neuro-symbolic approaches in computational learning sciencesTechnology for Human Learning. Université de Bordeaux, 2024. English. ⟨NNT : 2024BORD0065⟩ |