Publications related to Chinese room

Efficient Text-based Reinforcement Learning by Jointly Leveraging State and Commonsense Graph Representations

Text-based games (TBGs) have emerged as useful benchmarks for evaluating progress at the intersection of grounded language understanding and reinforcement learning (RL). Recent work has proposed the use of external knowledge to improve the efficiency of RL ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

CO2 experimental measurements towards the development of a predictive framework using user actions in smart buildings

Jérôme Henri Kämpf, Antonio Figueiredo

A transition towards smart buildings is one of the challenges of the 21st century. To achieve this goal, the use of smart sensors and smart appliances can be crucial. Although research about linking real-time monitoring and the operation mode of building a ...

IOP Publishing Ltd2019

Cognitive performance evaluation under controlled daylight levels at different indoor temperatures

Marilyne Andersen, Jan Wienold, Giorgia Chinazzo

This paper details the results of an experimental study investigating the influence of daylight illuminance levels and indoor temperatures on objective and subjective performance evaluations, investigated through paper-based tasks and questionnaires, respe ...

2019

Decoding Neural Correlates of Cognitive States to Enhance Driving Experience

Ricardo Andres Chavarriaga Lozano, José del Rocio Millán Ruiz, Huaijian Zhang, Lucian Andrei Gheorghe, Sareh Saeedi, Zahra Khaliliardali, Marija Uscumlic, Ruslan Aydarkhanov

Modern cars can support their drivers by assessing and autonomously performing different driving maneuvers based on information gathered by in-car sensors. We propose that brain–machine interfaces (BMIs) can provide complementary information that can ease ...

2018

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Daniel Peppicelli, Marc-Oliver Gewaltig, Luc Guyot, Egidio Falotico, Lorenzo Vannucci, Axel von Arnim, Paul Levi, Georg Hinkel, Stefan Ulbrich, Eduardo Ros, Alessandro Ambrosano, Nino Cauli, Patrick Van Der Smagt, Oliver Denninger, Ugo Albanese, Murat Kirtay, Stefan Deser, Sandro Weber, Patrick Maier, Igor Peric

Combined efforts in the fields of neuroscience, computer science, and biology allowed to design biologically realistic models of the brain based on spiking neural networks. For a proper validation of these models, an embodiment in a dynamic and rich sensor ...

2017

Assessment of active electroacoustic absorbers as low-frequency modal dampers in rooms

Hervé Lissek, Romain Boulandet, Etienne Thierry Jean-Luc Rivet, Iris Rigas

In small to medium size rooms, natural room modes may severely strengthen the annoyance of low frequency noises, such as traffic or equipment noise. Moreover, there is an actual technological gap in the state-of-the-art concerning low-frequency treatments, ...

2012

Active, a platform for building intelligent software

Charles Baur

Computer systems keep growing in complexity, processing power and inter-connectivity. To leverage this rich environment and better assist users, a new type of intelligent assistant software is required. Building intelligent assistants is a difficult task t ...

2006