Concept

Croyance

Publications associées (33)

Graph Chatbot

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Getting looped in to the web: characterizing learning processes and educational responses

Through profiling and matching processes, technology provides individuals with information that becomes redundant to their previous beliefs, attitudes and preferences. The emergence of informational redundancies encouraged by some technologies is likely to ...

2017

Intensive travel time: an obligation or a choice?

Stéphanie Vincent

This paper explores what prompts some individuals to spend a significant amount of time travelling. In the literature, travel time tends to be regarded as useless, unproductive time and, in some cases, as the worst time of the day. The actual behaviour of ...

Springer2016

Balancing New Against Old Information: The Role of Surprise

Wulfram Gerstner, Kerstin Preuschoff, Mohammadjavad Faraji

Surprise is a widely used concept describing a range of phenomena from unexpected events to behavioral responses. We propose a measure of surprise, to arrive at a new framework for surprise-driven learning. There are two components to this framework: (i) a ...

Public Library of Science2016

What crowding can tell us about object representations

Michael Herzog, Aaron Michael Clarke, Mauro Manassi

In crowding, perception of a target usually deteriorates when flanking elements are presented next to the target. Surprisingly, adding further flankers can lead to a release from crowding. In previous work we showed that, for example, vernier offset discri ...

Association for Research in Vision and Ophthalmology (ARVO)2016

Eliciting Truthful Information with the Peer Truth Serum

Boi Faltings, Radu Jurca, Goran Radanovic

We consider settings where a collective intelligence is formed by aggregating information contributed from many independent agents, such as product reviews, community sensing or opinion polls. To encourage participation and avoid selection bias, agents sho ...

2014

Incentives for Truthful Information Elicitation of Continuous Signals

Boi Faltings, Goran Radanovic

We consider settings where a collective intelligence is formed by aggregating information contributed from many independent agents, such as product reviews, community sensing, or opinion polls. We propose a novel mechanism that elicits both private signals ...

2014

Computational Education using Latent Structured Prediction

Computational education offers an important add-on to conventional teaching. To provide optimal learning conditions, accurate representation of students' current skills and adaptation to newly acquired knowledge are essential. To obtain sufficient represen ...

2014

The dynamics of health behavior sentiments on a large online social network

Marcel Salathé

Modifiable health behaviors, a leading cause of illness and death in many countries, are often driven by individual beliefs and sentiments about health and disease. Individual behaviors affecting health outcomes are increasingly modulated by social network ...

2013

Data compression to define information content of hydrological time series

Marc Parlange, Steven Vincent Weijs, Nicolaas Cornelis van de Giesen

When inferring models from hydrological data or calibrating hydrological models, we are interested in the information content of those data to quantify how much can potentially be learned from them. In this work we take a perspective from (algorithmic) inf ...

Copernicus Gesellschaft Mbh2013

Learning search behaviour from humans

Aude Billard

A frequent method for taking into account the partially observable nature of an environment in which robots interact lies in formulating the problem domain as a Partially Observable Markov Decision Process (POMDP). By having humans demonstrate how to act i ...

2013