Zobrazeno 1 - 10
of 478
pro vyhledávání: '"Lenaerts Tom"'
Autor:
Attafi, Omar Abdelghani, Clementel, Damiano, Kyritsis, Konstantinos, Capriotti, Emidio, Farrell, Gavin, Fragkouli, Styliani-Christina, Castro, Leyla Jael, Hatos, András, Lenaerts, Tom, Mazurenko, Stanislav, Mozaffari, Soroush, Pradelli, Franco, Ruch, Patrick, Savojardo, Castrense, Turina, Paola, Zambelli, Federico, Piovesan, Damiano, Monzon, Alexander Miguel, Psomopoulos, Fotis, Tosatto, Silvio C. E.
Supervised machine learning (ML) is used extensively in biology and deserves closer scrutiny. The DOME recommendations aim to enhance the validation and reproducibility of ML research by establishing standards for key aspects such as data handling an
Externí odkaz:
http://arxiv.org/abs/2408.07721
We introduce the Laser Learning Environment (LLE), a collaborative multi-agent reinforcement learning environment in which coordination is central. In LLE, agents depend on each other to make progress (interdependence), must jointly take specific seq
Externí odkaz:
http://arxiv.org/abs/2404.03596
Extracting from shared resources requires making choices to balance personal profit and sustainability. We present the results of a behavioural experiment wherein we manipulate the default extraction from a finite resource. Participants were exposed
Externí odkaz:
http://arxiv.org/abs/2403.06796
Individual and social biases undermine the effectiveness of human advisers by inducing judgment errors which can disadvantage protected groups. In this paper, we study the influence these biases can have in the pervasive problem of fake news by evalu
Externí odkaz:
http://arxiv.org/abs/2403.08829
Experts advising decision-makers are likely to display expertise which varies as a function of the problem instance. In practice, this may lead to sub-optimal or discriminatory decisions against minority cases. In this work we model such changes in d
Externí odkaz:
http://arxiv.org/abs/2305.01063
Autor:
Tubella, Andrea Aler, Mollo, Dimitri Coelho, Lindström, Adam Dahlgren, Devinney, Hannah, Dignum, Virginia, Ericson, Petter, Jonsson, Anna, Kampik, Timotheus, Lenaerts, Tom, Mendez, Julian Alfredo, Nieves, Juan Carlos
Fairness is central to the ethical and responsible development and use of AI systems, with a large number of frameworks and formal notions of algorithmic fairness being available. However, many of the fairness solutions proposed revolve around techni
Externí odkaz:
http://arxiv.org/abs/2304.11217
Autor:
Terrucha, Inês, Domingos, Elias Fernández, Santos, Francisco C., Simoens, Pieter, Lenaerts, Tom
It is widely known how the human ability to cooperate has influenced the thriving of our species. However, as we move towards a hybrid human-machine future, it is still unclear how the introduction of AI agents in our social interactions will affect
Externí odkaz:
http://arxiv.org/abs/2205.06632
Publikováno v:
Sci Rep 12, 7589 (2022)
While many theoretical studies have revealed the strategies that could lead to and maintain cooperation in the Iterated Prisoner's Dilemma, less is known about what human participants actually do in this game and how strategies change when being conf
Externí odkaz:
http://arxiv.org/abs/2202.04171
Autor:
Lillepea, Kristiina, Juchnewitsch, Anna-Grete, Kasak, Laura, Valkna, Anu, Dutta, Avirup, Pomm, Kristjan, Poolamets, Olev, Nagirnaja, Liina, Tamp, Erik, Mahyari, Eisa, Vihljajev, Vladimir, Tjagur, Stanislav, Papadimitriou, Sofia, Riera-Escamilla, Antoni, Versbraegen, Nassim, Farnetani, Ginevra, Castillo-Madeen, Helen, Sütt, Mailis, Kübarsepp, Viljo, Tennisberg, Sven, Korrovits, Paul, Krausz, Csilla, Aston, Kenneth I., Lenaerts, Tom, Conrad, Donald F., Punab, Margus, Laan, Maris
Publikováno v:
In The American Journal of Human Genetics 2 May 2024 111(5):877-895
Quite some real-world problems can be formulated as decision-making problems wherein one must repeatedly make an appropriate choice from a set of alternatives. Multiple expert judgements, whether human or artificial, can help in taking correct decisi
Externí odkaz:
http://arxiv.org/abs/2106.13539