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Concept

Motivation crowding theory

Publications associées (10)

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

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

Truthful, Transparent and Fair Data Collection Mechanisms

Naman Goel

An important prerequisite for developing trustworthy artificial intelligence is high quality data. Crowdsourcing has emerged as a popular method of data collection in the past few years. However, there is always a concern about the quality of the data thus ...

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

Imaging and manipulating proteins in live cells through covalent labeling

Kai Johnsson, Lin Xue, Julien Hiblot, Iuliia Karpenko

The past 20 years have witnessed the advent of numerous technologies to specifically and covalently label proteins in cellulo and in vivo with synthetic probes. These technologies range from self-labeling proteins tags to non-natural amino acids, and the q ...

Nature Publishing Group2015

Use of event-level neutrino telescope data in global fits for theories of new physics

Matthias Wolf, Xiaoxia Bai, Mathieu Ribordy, Shirit Cohen

We present a fast likelihood method for including event-level neutrino telescope data in parameter explorations of theories for new physics, and announce its public release as part of DarkSUSY 5.0.6. Our construction includes both angular and spectral info ...

Iop Publishing Ltd2012

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

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