Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Clément Moulin-Frier"'
Autor:
Xerxes D. Arsiwalla, Ricard Solé, Clément Moulin-Frier, Ivan Herreros, Martí Sánchez-Fibla, Paul Verschure
Publikováno v:
NeuroSci, Vol 4, Iss 2, Pp 79-102 (2023)
In this perspective article, we show that a morphospace, based on information-theoretic measures, can be a useful construct for comparing biological agents with artificial intelligence (AI) systems. The axes of this space label three kinds of complex
Externí odkaz:
https://doaj.org/article/4675f9faffa8483eb221a7d2a4b4ed59
Autor:
Berkay Demirel, Clément Moulin-Frier, Xerxes D. Arsiwalla, Paul F. M. J. Verschure, Martí Sánchez-Fibla
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
In cognitive science, Theory of Mind (ToM) is the mental faculty of assessing intentions and beliefs of others and requires, in part, to distinguish incoming sensorimotor (SM) signals and, accordingly, attribute these to either the self-model, the mo
Externí odkaz:
https://doaj.org/article/283865fce167447bb0ac7cd302cbfee2
Autor:
Tobias Fischer, Jordi-Ysard Puigbò, Daniel Camilleri, Phuong D. H. Nguyen, Clément Moulin-Frier, Stéphane Lallée, Giorgio Metta, Tony J. Prescott, Yiannis Demiris, Paul F. M. J. Verschure
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
Generating complex, human-like behavior in a humanoid robot like the iCub requires the integration of a wide range of open source components and a scalable cognitive architecture. Hence, we present the iCub-HRI library which provides convenience wrap
Externí odkaz:
https://doaj.org/article/4885a2be8f7c4fabb073b32f5f7c8b2c
Publikováno v:
PLoS ONE, Vol 8, Iss 12, p e83411 (2013)
We propose a new approach for solving a class of discrete decision making problems under uncertainty with positive cost. This issue concerns multiple and diverse fields such as engineering, economics, artificial intelligence, cognitive science and ma
Externí odkaz:
https://doaj.org/article/9a6bd0a93ee94f4abfd75d010d9e199c
Autor:
Jean-Luc Schwartz, Pierre Bessière, Pascal Perrier, Marc-Antoine Georges, Mamady Nabé, Julien Diard, Marie-Lou Barnaud, Raphaël Laurent, Jean-François Patri, Clément Moulin-Frier
Publikováno v:
JEP 2022-34e Journées d’Études sur la Parole
JEP 2022-34e Journées d’Études sur la Parole, Jun 2022, Noirmoutier-en-l'Ile, France
JEP 2022-34e Journées d’Études sur la Parole, Jun 2022, Noirmoutier-en-l'Ile, France
International audience; COSMO ("Communicating Objects by Sensory-Motor Operations") is a framework for jointly modeling speech perception and production by considering sensory-motor relations as a core component of its program. COSMO allows to jointl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56a95521c340cf38bd047ad73f8e7241
https://hal.science/hal-03864188
https://hal.science/hal-03864188
Publikováno v:
Nature Machine Intelligence
Nature Machine Intelligence, inPress, 4, pp.1068-1076. ⟨10.1038/s42256-022-00591-4⟩
Nature Machine Intelligence, inPress, 4, pp.1068-1076. ⟨10.1038/s42256-022-00591-4⟩
International audience; Building autonomous agents able to grow open-ended repertoires of skills across their lives is a fundamental goal of artificial intelligence (AI). A promising developmental approach recommends the design of intrinsically motiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a1bbb700b28cfe58a9cfd140fa79292
https://hal.science/hal-03901812
https://hal.science/hal-03901812
Publikováno v:
The Drive for Knowledge: The Science of Human Information Seeking
The Drive for Knowledge: The Science of Human Information Seeking, 2022, ⟨10.1017/9781009026949⟩
The Drive for Knowledge: The Science of Human Information Seeking, 2022, ⟨10.1017/9781009026949⟩
International audience; Intrinsically motivated information-seeking, also called curiositydriven exploration, is widely believed to be a key ingredient for autonomous learning in the real world. Such forms of spontaneous exploration have been studied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a66b08b6fd2971de5b5793e9b5fc283b
https://inria.hal.science/hal-03447896v2/file/Ten2022Curiosity-driven.pdf
https://inria.hal.science/hal-03447896v2/file/Ten2022Curiosity-driven.pdf
Intrinsically motivated information-seeking, also called curiosity-driven exploration, is widely believed to be a key ingredient for autonomous learning in the real world. Such forms of spontaneous exploration have been studied in multiple independen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7681f6a351611fd57930b635bf66b046
https://doi.org/10.31234/osf.io/n2byt
https://doi.org/10.31234/osf.io/n2byt
Autor:
Cédric Colas, Tristan Karch, Nicolas Lair, Jean-Michel Dussoux, Clément Moulin-Frier, Peter Ford Dominey, Pierre-Yves Oudeyer
Publikováno v:
NeurIPS 2020-34th Conference on Neural Information Processing Systems
NeurIPS 2020-34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada
HAL
NeurIPS 2020-34th Conference on Neural Information Processing Systems, Dec 2020, Vancouver / Virtual, Canada
HAL
Developmental machine learning studies how artificial agents can model the way children learn open-ended repertoires of skills. Such agents need to create and represent goals, select which ones to pursue and learn to achieve them. Recent approaches h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94044d978c09d80f8459074868f4baf7
https://hal.archives-ouvertes.fr/hal-03083158
https://hal.archives-ouvertes.fr/hal-03083158
Autor:
Remy Kusters, Dusan Misevic, Hugues Berry, Antoine Cully, Yann Le Cunff, Loic Dandoy, Natalia Díaz-Rodríguez, Marion Ficher, Jonathan Grizou, Alice Othmani, Themis Palpanas, Matthieu Komorowski, Patrick Loiseau, Clément Moulin Frier, Santino Nanini, Daniele Quercia, Michele Sebag, Françoise Soulié Fogelman, Sofiane Taleb, Liubov Tupikina, Vaibhav Sahu, Jill-Jênn Vie, Fatima Wehbi
Publikováno v:
Frontiers in Big Data, Vol 3 (2020)
Frontiers in Big Data
Frontiers in Big Data, 2020, 3, ⟨10.3389/fdata.2020.577974⟩
Frontiers in Big Data, Frontiers, 2020, 3, ⟨10.3389/fdata.2020.577974⟩
Frontiers in Big Data
Frontiers in Big Data, 2020, 3, ⟨10.3389/fdata.2020.577974⟩
Frontiers in Big Data, Frontiers, 2020, 3, ⟨10.3389/fdata.2020.577974⟩
The use of artificial intelligence (AI) in a variety of research fields is speeding up multiple digital revolutions, from shifting paradigms in healthcare, precision medicine and wearable sensing, to public services and education offered to the masse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5195c7514bb8917f8c1bbce90564bb3
https://www.frontiersin.org/articles/10.3389/fdata.2020.577974/full
https://www.frontiersin.org/articles/10.3389/fdata.2020.577974/full