Publications associées à Intelligence humaine

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

The ability to reason, plan and solve highly abstract problems is a hallmark of human intelligence. Recent advancements in artificial intelligence, propelled by deep neural networks, have revolutionized disciplines like computer vision and natural language ...

EPFL2024

Les Cahiers de l'Ibois 3 / Ibois Notebook 3

Petras Vestartas, Sandra Vuilleumier

Before the twentieth century and concrete modernity, it was stone that embodied the “well built”. Could sustainable wood one day replace concrete as the archetypal material? Will it find a place on the scale of values that gives archi- tecture its referenc ...

EPFL PRESS2022

PEACE: A Model of Key Social and EmotionalQualities of Conversational Chatbots

Pearl Pu Faltings, Ekaterina Svikhnushina

Open-domain chatbots engage with users in natural conversations to socialize and establish bonds. However, designing and developing an effective open-domain chatbot is challenging. It is unclear what qualities of a chatbot most correspond to users' expecta ...

ASSOC COMPUTING MACHINERY2022

Towards Empathetic Open-Domain Chatbots

Yubo Xie

The research community of dialog generation has been interested in incorporating emotional information into the design of open-domain dialog systems ever since neural networks (sequence-to-sequence models in particular) were adopted for modeling dialogs. T ...

EPFL2022

Temporal complexity of fMRI is reproducible and correlates with higher order cognition

Dimitri Nestor Alice Van De Ville, Amir Hossein Omidvarnia

It has been hypothesized that resting state networks (RSNs), extracted from resting state functional magnetic resonance imaging (rsfMRI), likely display unique temporal complexity fingerprints, quantified by their multiscale entropy patterns (McDonough and ...

2021

No Evidence for a Common Factor Underlying Visual Abilities in Healthy Older People

Michael Herzog, Aline Françoise Cretenoud, Aaron Michael Clarke, Albulena Jashari-Shaqiri

The world's population is aging at an increasing rate. Even in the absence of neurodegenerative disorders, healthy aging affects perception and cognition. In the context of cognition, common factors are well established. Much less is known about common fac ...

AMER PSYCHOLOGICAL ASSOC2019

Resting brain dynamics at different timescales capture distinct aspects of human behavior

Dimitri Nestor Alice Van De Ville, Raphaël Pierre Liégeois

Linking human behavior to resting-state brain function is a central question in systems neuroscience. In particular, the functional timescales at which different types of behavioral factors are encoded remain largely unexplored. The behavioral counterparts ...

Springer2019

When and why performance goals predict exploitation behaviors: An achievement goal complex analysis of the selection function of assessment

Fabrizio Butera, David Nguyen, Martin Jobin, Hamza Sehaqui, Kevin Fahrni, Nicolas Sommet

We adopted an achievement goal complex framework (studying achievement goals and reasons connected to goals) to determine when and why performance goals predict exploitation of others' knowledge. We hypothesized that: (i) when selective assessment is used ...

SPRINGER/PLENUM PUBLISHERS2019

Science, technology and the future of small autonomous drones

Dario Floreano

We are witnessing the advent of a new era of robots — drones — that can autonomously fly in natural and man-made environments. These robots, often associated with defence applications, could have a major impact on civilian tasks, including transportation, ...

Nature Publishing Group2015

Social Signal Processing: Survey of an Emerging Domain

Hervé Bourlard, Alessandro Vinciarelli

The ability to understand and manage social signals of a person we are communicating with is the core of social intelligence. Social intelligence is a facet of human intelligence that has been argued to be indispensable and perhaps the most important for s ...

2009

Essays on individual decision making under uncertainty

Elise Le Nestour

This research project is an experimental study of decision-making in very difficult contexts resembling those encountered in financial markets. The starting point was the empirical observation that financial assets are objects of a very complex kind. Speci ...

EPFL2009