Zobrazeno 1 - 10
of 493
pro vyhledávání: '"Oudeyer, Pierre-Yves"'
Autor:
Nisioti, Eleni, Risi, Sebastian, Momennejad, Ida, Oudeyer, Pierre-Yves, Moulin-Frier, Clément
Human culture relies on collective innovation: our ability to continuously explore how existing elements in our environment can be combined to create new ones. Language is hypothesized to play a key role in human culture, driving individual cognitive
Externí odkaz:
http://arxiv.org/abs/2407.05377
Autor:
Perez, Jérémy, Léger, Corentin, Kovač, Grgur, Colas, Cédric, Molinaro, Gaia, Derex, Maxime, Oudeyer, Pierre-Yves, Moulin-Frier, Clément
As large language models (LLMs) start interacting with each other and generating an increasing amount of text online, it becomes crucial to better understand how information is transformed as it passes from one LLM to the next. While significant rese
Externí odkaz:
http://arxiv.org/abs/2407.04503
This paper introduces PhyloLM, a method adapting phylogenetic algorithms to Large Language Models (LLMs) to explore whether and how they relate to each other and to predict their performance characteristics. Our method calculates a phylogenetic dista
Externí odkaz:
http://arxiv.org/abs/2404.04671
Curiosity-driven learning has shown significant positive effects on students' learning experiences and outcomes. But despite this importance, reports show that children lack this skill, especially in formal educational settings. To address this chall
Externí odkaz:
http://arxiv.org/abs/2403.08397
Autor:
Perez, Jérémy, Léger, Corentin, Ovando-Tellez, Marcela, Foulon, Chris, Dussauld, Joan, Oudeyer, Pierre-Yves, Moulin-Frier, Clément
Research in cultural evolution aims at providing causal explanations for the change of culture over time. Over the past decades, this field has generated an important body of knowledge, using experimental, historical, and computational methods. While
Externí odkaz:
http://arxiv.org/abs/2403.08882
The standard way to study Large Language Models (LLMs) with benchmarks or psychology questionnaires is to provide many different queries from similar minimal contexts (e.g. multiple choice questions). However, due to LLMs' highly context-dependent na
Externí odkaz:
http://arxiv.org/abs/2402.14846
Autor:
Hamon, Gautier, Etcheverry, Mayalen, Chan, Bert Wang-Chak, Moulin-Frier, Clément, Oudeyer, Pierre-Yves
The research field of Artificial Life studies how life-like phenomena such as autopoiesis, agency, or self-regulation can self-organize in computer simulations. In cellular automata (CA), a key open-question has been whether it it is possible to find
Externí odkaz:
http://arxiv.org/abs/2402.10236
Large class sizes pose challenges to personalized learning in schools, which educational technologies, especially intelligent tutoring systems (ITS), aim to address. In this context, the ZPDES algorithm, based on the Learning Progress Hypothesis (LPH
Externí odkaz:
http://arxiv.org/abs/2402.01669
Can we build an artificial system that would be able to generate endless surprises if ran "forever" in Minecraft? While there is not a single path toward solving that grand challenge, this article presents what we believe to be some working ingredien
Externí odkaz:
http://arxiv.org/abs/2312.00455
Autor:
Brinkmann, Levin, Baumann, Fabian, Bonnefon, Jean-François, Derex, Maxime, Müller, Thomas F., Nussberger, Anne-Marie, Czaplicka, Agnieszka, Acerbi, Alberto, Griffiths, Thomas L., Henrich, Joseph, Leibo, Joel Z., McElreath, Richard, Oudeyer, Pierre-Yves, Stray, Jonathan, Rahwan, Iyad
Publikováno v:
Nat Hum Behav 7, 1855-1868 (2023)
The ability of humans to create and disseminate culture is often credited as the single most important factor of our success as a species. In this Perspective, we explore the notion of machine culture, culture mediated or generated by machines. We ar
Externí odkaz:
http://arxiv.org/abs/2311.11388