Publications

Pacherie, E. (2002). Intention .

Pacherie, E. (2002). Reply to John Campbell on Joint attention and simulation.

Mamassian, P., Landy, M., Maloney, L., Rao, R., Olshausen, B. & Lewicki, M. (2002). Bayesian modelling of visual perception. In R. Rao, B. Olshausen & M. Lewicki (Eds.), Probabilistic Models of the Brain: Perception and Neural Function (pp. 13-36). Cambridge, MA: MIT Press

Pacherie, E. (2005). Perceiving Intentions. (pp. 401-414).

Pacherie, E. (2006). Towards a Dynamic Theory of Intentions . (pp. 145-167).

Dokic, J. & Pacherie, E. (2006). On the Very Idea of a Frame of Reference . (pp. 259-280).

Pacherie, E. (2007). Is collective intentionality really primitive? (pp. 153-175).

Pacherie, E. (2008). Perception, Emotions and Delusions: Revisiting the Capgras Delusion . (pp. 07-126).

Pacherie, E. (2010). Self-Agency.

Pacherie, E. & Haggard, P. (2010). What Are Intentions? . (pp. 70–84).

Pacherie, E. (2012). The Phenomenology of Joint Action: Self-Agency Vs. Joint-Agency . (pp. 343-389).

Pacherie, E. (2012). Action. (pp. 92–111 ).

Bourgeois-Gironde, S. (2017). How regret moves individual and collective choices towards rationality. Handbook of Behavioural Economics and Smart Decision-Making: Rational …

Bourgeois-Gironde, S. (2019). Comment Managua fut vers 1979 le lieu d’un événement linguistique révolutionnaire. In ESKA (Eds.), Problèmes d'Amérique latine (Vol. 112, pp. 101-114). doi:0.3917/pal.112.0101

Mylopoulos, M. & Pacherie, E. (2020). Self-Control as Hybrid Skill. In A. Mele (Eds.), Surrounding Self-Control (pp. 81-100). Oxford : Oxford University Press. doi:10.1093/oso/9780197500941.003.0005

Butterfill , S. & Pacherie, E. (2020). Towards a blueprint for a social animal. In Fiebich, Anika (Eds.), Minimal Cooperation and Shared Agency (pp. 111-125).Springer . doi:10.1007/978-3-030-29783-1

Bourgeois-Gironde, S. (2020). Le sourire de ma boulangère : sur le rôle des expressions faciales dans les transactions monétaires. In Claudia Senik (Eds.), Crise de confiance ? (pp. 213-230). Paris: La Découverte, "Recherche"

Lussange, J., Belianin, A., Bourgeois-Gironde, S. & Gutkin, B. (2021). Learning and Cognition in Financial Markets: A Paradigm Shift for Agent-Based Models. Advances in Intelligent Systems and Computing (Vol. 1252, pp. 241-255). doi:10.1007/978-3-030-55190-2_19

Pacherie, E. & Castro, V. (2022). Robots and Resentment: Commitments, recognition and social motivation in HRI. Emotional Machines. Perspectives from Affective Computing and Emotional Human-Machine InteractionSpringer Fachmedien Wiesbaden

Cristia, A. & Peperkamp, S. (2012). Generalizing without encoding specifics: Infants infer phonotactic patterns on sound classes. In Proceedings of the 36th Annual Boston University Conference on Language Development, 126-138.

Seidl, A., Warlaumont, A. & Cristia, A. (2019). Towards detection of canonical babbling by citizen scientists: Performance as a function of clip length. In Proceedings of Interspeech, Graz, Austria.

Schuller, B., Batliner, A., Bergler, C., Pokorny, F., Krajewski, J., Cychosz, M., Vollmann, R., Roelen, S., Schnieder, S., Bergelson, E. & Cristia, A. (2019). The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity. In Proceedings of Interspeech, Graz, Austria.

Ryant, N., Church, K., Cieri, C., Cristia, A., Ganapathy, S. & Liberman, M. (2019). Second DIHARD Diarization Challenge: Dataset, task, and baselines. In Proceedings of Interspeech, Graz, Austria.

Loukatou, G., Moran, S., Blasi, D., Stoll, S. & Cristia, A. (2019). Is word segmentation child’s play in all languages? In Proceedings of the Association for Computational Linguistics.

Loukatou, G., Le Normand, M. & Cristia, A. (2019). Is it easier to segment words from infant-directed speech? Modeling evidence from an ecological French corpus. In Proceedings of the 41st Conference of Cognitive Science Society..

Havron, N., Babineau, M., Fiévet, A., de Carvalho, A. & Christophe, A. (2019). Young Children Build Syntactic Predictions During Language Processing and Use Them to Learn Novel-Word Meanings. In The 44th Annual Boston University Conference on Language Development, Boston, USA.

Futaisi Al, N., Zhang, Z., Cristia, A., Warlaumont, A. & Schuller, B. (2019). VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis. In 2019 International Conference on Multimodal Interaction, 205-209.

Erdmann, A. , Joseph Wrisley, D., Allen, B. , Brown, C. , Cohen-Bodenes, S., Elsner, M. , Feng, Y. , D Joseph, B. , Joyeux-Prunel, B. & de Marneffe, M. (2019). Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities. In Proceedings of the 2019 Conference of the North, 2223-2234. doi:10.18653/v1/N19-1231

Dubreuil, A., Valente, A., Mastrogiuseppe, F. & Ostojic, S. (2019). Disentangling the roles of dimensionality and cell classes in neural computation. In NeurIPS Workshop.

Castro, V. , Clodic, A., Alami, R. & Pacherie, E. (2019). Commitments in Human-Robot Interaction. In AI-HRI 2019 Proceedings. AAAI Fall Symposium Series.