Zobrazeno 1 - 10
of 3 321
pro vyhledávání: '"A. MACDERMOTT"'
Autor:
Bengio, Yoshua, Cohen, Michael K., Malkin, Nikolay, MacDermott, Matt, Fornasiere, Damiano, Greiner, Pietro, Kaddar, Younesse
Is there a way to design powerful AI systems based on machine learning methods that would satisfy probabilistic safety guarantees? With the long-term goal of obtaining a probabilistic guarantee that would apply in every context, we consider estimatin
Externí odkaz:
http://arxiv.org/abs/2408.05284
Intention is an important and challenging concept in AI. It is important because it underlies many other concepts we care about, such as agency, manipulation, legal responsibility, and blame. However, ascribing intent to AI systems is contentious, an
Externí odkaz:
http://arxiv.org/abs/2402.07221
How should my own decisions affect my beliefs about the outcomes I expect to achieve? If taking a certain action makes me view myself as a certain type of person, it might affect how I think others view me, and how I view others who are similar to me
Externí odkaz:
http://arxiv.org/abs/2307.10987
Autor:
Takaba, Kenichiro, Pulido, Iván, Behara, Pavan Kumar, Cavender, Chapin E., Friedman, Anika J., Henry, Michael M., Opeskin, Hugo MacDermott, Iacovella, Christopher R., Nagle, Arnav M., Payne, Alexander Matthew, Shirts, Michael R., Mobley, David L., Chodera, John D., Wang, Yuanqing
The development of reliable and extensible molecular mechanics (MM) force fields -- fast, empirical models characterizing the potential energy surface of molecular systems -- is indispensable for biomolecular simulation and computer-aided drug design
Externí odkaz:
http://arxiv.org/abs/2307.07085
Autor:
Fox, James, MacDermott, Matt, Hammond, Lewis, Harrenstein, Paul, Abate, Alessandro, Wooldridge, Michael
Publikováno v:
EPTCS 379, 2023, pp. 201-220
Multi-agent influence diagrams (MAIDs) are a popular game-theoretic model based on Bayesian networks. In some settings, MAIDs offer significant advantages over extensive-form game representations. Previous work on MAIDs has assumed that agents employ
Externí odkaz:
http://arxiv.org/abs/2307.05059
Autor:
Kenton, Zachary, Kumar, Ramana, Farquhar, Sebastian, Richens, Jonathan, MacDermott, Matt, Everitt, Tom
Causal models of agents have been used to analyse the safety aspects of machine learning systems. But identifying agents is non-trivial -- often the causal model is just assumed by the modeler without much justification -- and modelling failures can
Externí odkaz:
http://arxiv.org/abs/2208.08345
It is increasingly becoming realized that incompatible variables, which play an essential role in quantum mechanics (QM), are not in fact unique to QM. Here we add a new example, the "Arrow" system, to the growing list of classical systems that posse
Externí odkaz:
http://arxiv.org/abs/2206.00008
Autor:
Helena C. Bartels, Jim O’Doherty, Eric Wolsztynski, David P. Brophy, Roisin MacDermott, David Atallah, Souha Saliba, Constance Young, Paul Downey, Jennifer Donnelly, Tony Geoghegan, Donal J. Brennan, Kathleen M. Curran
Publikováno v:
European Radiology Experimental, Vol 7, Iss 1, Pp 1-14 (2023)
Abstract Background Placenta accreta spectrum (PAS) is a rare, life-threatening complication of pregnancy. Predicting PAS severity is critical to individualise care planning for the birth. We aim to explore whether radiomic analysis of T2-weighted ma
Externí odkaz:
https://doaj.org/article/185d8d1790f94bd692b4e575611e71cc
Publikováno v:
In Forensic Science International: Digital Investigation December 2023 47
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