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Concept

Théorie de l'autodétermination

Publications associées (14)

Computational models of intrinsic motivation for curiosity and creativity

Wulfram Gerstner, Alireza Modirshanechi, Sophia Becker

We link Ivancovsky et al.'s novelty-seeking model (NSM) to computational models of intrinsically motivated behavior and learning. We argue that dissociating different forms of curiosity, creativity, and memory based on the involvement of distinct intrinsic ...

2024

A Research-Practice Partnership to Introduce Computer Science in Secondary School: Lessons from a Pilot Program

Francesco Mondada, Barbara Bruno, Jessica Elke Dehler Zufferey, Laila Abdelsalam El-Hamamsy, Helena Kovacs, Jean-Philippe Pellet

Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be con ...

2023

The iReCheck project: using tablets and robots for personalised handwriting practice

Pierre Dillenbourg, Barbara Bruno, Daniel Carnieto Tozadore, Chenyang Wang, David Cohen

Handwriting is an important skill in children development as well as in education that take years to be mastered. While keyboards and similar technological devices increasingly become more popular, new tools and engaging approaches are also required to kee ...

Association for Computing Machinery2023

Glutamine-to-glutamate ratio in the nucleus accumbens predicts effort-based motivated performance in humans

Rolf Gruetter, Maria del Carmen Sandi Perez, Lijing Xin, Gediminas Luksys, Alina Veronika Irene Strasser

Substantial evidence implicates the nucleus accumbens in motivated performance, but very little is known about the neurochemical underpinnings of individual differences in motivation. Here, we applied 1H magnetic resonance spectroscopy (1H-MRS) at ultra-hi ...

2020

Multilingual and Unsupervised Subword Modeling for Zero-Resource Languages

Enno Hermann

Subword modeling for zero-resource languages aims to learn low-level representations of speech audio without using transcriptions or other resources from the target language (such as text corpora or pronunciation dictionaries). A good representation should ...

2021

Neural Correlates of Reinforcement Learning: eligibility trace, reward prediction error, novelty and surprise

He Xu

In reinforcement learning (RL), an agent makes sequential decisions to maximise the reward it can obtain from an environment. During learning, the actual and expected outcomes are compared to tell whether a decision was good or bad. The difference between ...

EPFL2020

Financing rail infrastructure by multi-annual performance contracts : a case-based evaluation

Dagny Anne Greinus

After decades of public or private vertically integrated monopolies, the organisation of the European railway sector was re-structured. The European Commission has been seeking to improve the efficiency of the railways to strengthen the position of railway ...

EPFL2016

Correlation vs. Causality in Other-Triggered Upward Lightning in Tower Flashes

Farhad Rachidi-Haeri, Marcos Rubinstein, Aleksandr Smorgonskii

Upward lightning flashes from towers are sometimes preceded by other lightning activity in the vicinity of the tower. This observation has led to a classification of upward tower lightning into self-initiated, which are not preceded by nearby lightning act ...

Ieee2016

Incentive Mechanisms for Community Sensing

Boi Faltings, Radu Jurca, Jingshi Li

Sensing and monitoring of our natural environment are important for sustainability. As sensor systems grow to a large scale, it will become infeasible to place all sensors under centralized control. We investigate community sensing, where sensors are contr ...

Ieee Computer Soc2014

A mechatronic platform for behavioral analysis on nonhuman primates

Massimo Vespignani

In this work we present a new mechatronic platform for measuring behavior of nonhuman primates, allowing high reprogrammability and providing several possibilities of interactions. The platform is the result of a multidisciplinary design process, which has ...

2012

Special Section: Information and Competitive Strategy in a Networked Economy

Thomas Alois Weber

The special section of 2012 Journal of Management Information Systems deals with the incentives for distributed content generation; counterintuitive network effects in the security software market, which features an intrinsic negative externality; and the ...

2012

Bayesian multitask inverse reinforcement learning

Christos Dimitrakakis

We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or as different experts trying to solve the same task. Our main contribution is ...

2011

Stem cells of stratified epithelia : a generic stem cell?

Squamous stratified epithelia tissues are self-renewing, which quality implies the existence of stem cells. In skin the presence of bona fide multipotent stem cells has been demonstrated by long-term, serial grafting assays. We isolated, cultivated and exp ...

EPFL2008

In search of the neural circuits of intrinsic motivation

Frédéric Kaplan

Children seem to acquire new know-how in a continuous and open-ended manner. In this paper, we hypothesize that an intrinsic motivation to progress in learning is at the origins of the remarkable structure of children’s developmental trajectories. In this ...

2007