* Past projects

Past projects


  • ANR CHOUCAS. Modélisation du raisonnement des victimes d'accidents de montagne. Avec IGN, PGHM. Financement du Pôle Cognition : stage M2R Robin Couret co-encadré avec Martial Mermillod (LPNC)

  • ANR HIANIC - Porté par Anne Spalanzani, INRIA. 2018-21. Autonomous car navigation in shared spaces. Postdoc Lyuba Mancheva 2019. PhD Manon Predhumeau 2019-22. M2R Nobby Anjara Rakotoarivelo 2018.

  • ANR ACTEUR (Agents Cognitifs Territorialisés pour l’Etude des dynamiques Urbaines et des Risques). Financement ANR JCJC 2015-2019 (porteur: Patrick Taillandier)
    Integrating more complex intelligent agents (BDI) in social simulations
    Thèse Mathieu Bourgais sur l'architecture BEN pour GAMA: PDF
    Partenaires : Toulouse, Rouen, Grenoble...

  • AGIR SWIFT (Simulations With Intelligence for Fire Training). Financement AGIR-POLE-MSTIC 2016. Financements additionnels : LIG Emergence 2017 (SNICS, rôle des normes, pdf) et Pôle Cognition 2017 (biais cognitifs, pdf). PIMLIG ingénieur 2018 M. Boudis. PhD M. Arnaud; postdoc L. Mancheva

  • MUDAMO - Integration of multidisciplinary data for crisis modelling. Financement : IXXI Institut des Systèmes Complexes, Rhône-Alpes. 2015-2017.
    Partenaires : laboratoire PACTE, Images Solidaires.

  • MIMICS - Modélisation Multi-Agent de la mobilité dans les crises sismiques. ADR financée par ARC7 Rhône-Alpes. 2015-2018. Partenaires : PARN, Images Solidaires, PACTE.
    Thèse Julius Bañgate.

  • VOTVIZ - financement LIG Emergence 2019 (visualisation of effect of media)
    ENSIMAG IRL Yassine Bouachrine

  • MASSIV - Multi-Agent Simulation of Satisfaction in Voting
    LIG Emergence 2018. HAwAI (C. Adam) + STEAMER (S. Bouveret)
    ENSIMAG IRL: Albin Soutif-Cormarais (Python simulator of voters' behaviour)

  • Biais cognitifs et affectifs en situation de crise.
    Carole Adam et Julie Dugdale (MAGMA, LIG) Benoit Lemaire (LPNC)
    Financement: Pôle Cognition Grenoble 2017.

  • SNICS - Social Norms and their Impact in Crisis Situations. Cohésion sociale.
    LIG HAwAI (C. Adam, J. Dugdale) and AMA (C. Garbay) teams. M2R M. Alhafez.
    Financement : LIG Emergence. 2017

  • MAGIL (Modélisation Générique et Intégrée de la gestion de la zone littoral)
    Financement Défi Littoral CNRS 2016
    Agent-based modelling of littoral management, with impact of public policies, global warming, etc.

  • IR&MAS / ABS4IRE : Information Retrieval evaluation using Agent-Based Simulation
    Financement UJF pour l'invitation de Falk Scholer (RMIT, Melbourne, Australia) pendant 2 mois, mai 2016.
    PUMAS - Personalized User-centered Multi-Agent Systems
    Coopération CNRS-CONICET (Argentine). 2015-2016.

  • VUSIM-AMS (Urban Vulnerability to Earthquakes of Mendoza, Argentina - from acquisition to modelling for decision-making.
    PEPS, 2014-2015
    Collecting data for modelling human behaviours immediately after an earthquake.

  • EMOTES (Emotions Modelling, IRIT)Emotions in strategic interaction : theory, experiments, logical and computational studies)
    ANR 2012-2014

  • SOMBRERO (Embodying Socio-Communicative Behaviours in Humanoid Robots)
    ANR 2014-2017

  • Robots @ LIG Plateforme du LIG pour la robotique sociale en environnement ambiant, dotée notamment de 3 combinaisons d'un robot Reeti (tête expressive) de la société Robopec, sur une base mobile Robulab de Robosoft, et de possibilités d'expérimentations dans l'appartement intelligent Domus géré par Multicom. Financement CPER (région Rhône-Alpes).

  • Artificial companions (more details)

    • MOCA: My Little World of Artificial Companions. Funded by an ANR grant (2012-2016). Collaboration with Lab-STICC (Bretagne Sud), LIMSI (Paris), and LTCI (Paris).

    • CECIL - Complex Emotions in Communication, Interaction and Language. Funded by an ANR grant (2009-2012). Collaboration with IRIT (Toulouse) and LTCI (Paris).

  • Toys project (RMIT, Real Thing) - develop an intelligent interactive toy
    Funded by the ARC (Australian Research Council) under linkage grant LP0882013.

  • BQR Project (IRIT, CNRS) - a reasoning platform for intelligent agents.
    The objective is to provide IRIT with a platform to implement rational agents from a logical theory. This project makes use of the LOTREC automatic logical prover that was developed at IRIT based on the tableaux method. It involves the LILaC, RPDMP and SVF teams of IRIT. PDF



Some rejected projects

  • ETHICS. Serious game for teaching research ethics. Call for expression of interest for an internship. Co-encadrement de stage M2R avec Cédric Lauradoux (INRIA Privatics)

  • AVALANCHES. Modélisation du raisonnement de prise de risque des skieurs face aux avalanches
    Refusé à LIG Emergence 2019. Co-encadrement de stage M2R avec Paule-Annick Davoine (PACTE)

  • PERCOL (Information propagation during crisis - role of emotions and trust)
    Appel ARC6 2017

  • CROWD (Coping Representation for Optimal Warnings in Disasters)
    Appel Pôle Cognition 2017

  • MAIF UTOPIC: Using Twitter to Optimise Policies In Crisis. Document scientifique ici ; Slides là

  • CRAFTS (Comparing Responsibility Attribution in Fires Through Simulation)
    Appel fondation MAIF 2016

  • DYVULUS (Approche dynamique de la vulnérabilité urbaine aux séismes)
    Appel générique ANR 2016

  • TUXICO - Trust and User Expectations in Interactions with a COmpanion
    Appel AGIR 2015
    The goal of this project is to support natural interactions between artificial companions1 and their human users, in particular elderly users. This is of particular interest in our aging society where artificial companions are bound to become more and more present in our everyday life. Concretely, we want to endow an artificial companion with an interaction language where the interlocutors’ trust in each other and expectations of each other are made explicit in the conditions and effects of speech acts. We will first extend our existing human-agent communication language to distinguish three levels of speech acts (locutionary, illocutionary and perlocutionary). We will then develop a BDI logical model of trust and its dynamics during interaction, and integrate it in the semantics of speech acts. The language will be implemented in the PLEIAD reasoning engine and embedded in a social robot, and experiments will be led with real users in an intelligent apartment to validate the model.