Agent-based social simulation

Applied sciences
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Théorie générale des systèmes
Système complexe

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Publications associées (29)

Tenants’ residential mobility in Switzerland: the role of housing functions

Claudia Rebeca Binder Signer, Anna Pagani, Ivo Philippe Baur

The interaction between residential preferences and dwellings is a complex system whose function thus far remains insufficiently explored. In this paper, we investigate housing functions as orchestrators of households’ residential mobility in the context o ...

2021

Predictive user-based relocation through incentives in one-way car-sharing systems

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Car-sharing systems are an attractive alternative to private vehicles due to their benefits in terms of mobility and sustainability. However, the distribution of vehicles throughout the network in one-way systems is disturbed due to asymmetry and stochasti ...

2021

On Consensusability of Linear Interconnected Multi-Agent Systems and Simultaneous Stabilization

Giancarlo Ferrari Trecate, Mustafa Sahin Turan, Liang Xu

Consensusability of multi-agent systems (MASs) certifies the existence of a distributed controller capable of driving the states of each subsystem to a consensus value. We study the consensusability of linear interconnected MASs (LIMASs) where, as in sever ...

2021

Exploring easy-implementable adaptation strategies to climate change scenarios of existing office buildings: a case study in the Swiss context

Sergi Aguacil Moreno, Dolaana Khovalyg, Verena Marie Barthelmes, Cecile Anne Berquand

European energy policies are aimed at increasing the climate resilience of infrastructure, including new and existing buildings. The implications of future ambient conditions on the energy and environmental performance in buildings and respective adaptatio ...

2021

Social NCE: Contrastive Learning of Socially-aware Motion Representations

Alexandre Massoud Alahi, Yuejiang Liu

Learning socially-aware motion representations is at the core of recent advances in multi-agent problems, such as human motion forecasting and robot navigation in crowds. Despite promising progress, existing representations learned with neural networks sti ...

2021

Validation of axial void profile measured by neutron noise techniques in CROCUS

Andreas Pautz, Vincent Pierre Lamirand, Mathieu Hursin, Oskari Ville Pakari, Pavel Frajtag

Recently a joint project has been carried out between the Paul Scherrer Institut, the Ecole Polytechnique Federale de Lausanne and swissnuclear, an industrial partner, in order to determine the axial void distribution in a channel installed in the reflecto ...

2021

Simulation-based Microstructure Imaging: From Forward Signal Modeling to Machine Learning

Jonathan Rafael Patino Lopez

This thesis focuses on the signal modelling of Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI) in the brain's white matter (WM). DW-MRI a non-invasive technique with enormous potential for the study of the brain's microstructure by measuring the dif ...

EPFL2021

Hot Carrier Mobility Dynamics Unravel Competing Subpicosecond Processes in Lead Halide Perovskites

Jacques-Edouard Moser, Andrés Burgos Caminal, Arun Aby Paraecattil, Ahmad Ajdar Zadeh Oskouei, Juan Manuel Moreno Naranjo, Aurélien René Willauer

The mechanisms behind the large photocarrier diffusion length and the outstanding photovoltaic performances of lead halide perovskites (LHP) are still debated. Hot carrier cooling and the formation of polarons are central to the charge separation process. ...

2021

Social Learning With Partial Information Sharing

Ali H. Sayed, Virginia Bordignon

This work studies the learning abilities of agents sharing partial beliefs over social networks. The agents observe data that could have risen from one of several hypotheses and interact locally to decide whether the observations they are receiving have ri ...

IEEE2020

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