H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing With 3D Adaptive Mesh Refinement and Local Adaptive Time-stepping

Autor: Liska, M. T. P., Chatterjee, K., Issa, D., Yoon, D., Kaaz, N., Tchekhovskoy, A., van Eijnatten, D., Musoke, G., Hesp, C., Rohoza, V., Markoff, S., Ingram, A., van der Klis, M.

General-relativistic magnetohydrodynamic (GRMHD) simulations have revolutionized our understanding of black hole accretion. Here, we present a graphics processing unit (GPU) accelerated GRMHD code \hammer{} with multi-faceted optimizations that, coll

Externí odkaz: http://arxiv.org/abs/1912.10192

Disc Tearing and Bardeen-Petterson Alignment in GRMHD Simulations of Highly Tilted Thin Accretion Discs

Autor: Liska, M., Hesp, C., Tchekhovskoy, A., Ingram, A., van der Klis, M., Markoff, S. B., Van Moer, M.

Luminous active galactic nuclei (AGN) and X-Ray binaries (XRBs) often contain geometrically thin, radiatively cooled accretion discs. According to theory, these are -- in many cases -- initially highly misaligned with the black hole equator. In this

Externí odkaz: http://arxiv.org/abs/1904.08428

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events

Autor: Hesp, C., Tschantz, A., Millidge, B., Ramstead, M., Friston, K., Smith, R., Verbelen, T., Lanillos, P., Buckley, C.L., De Boom, C.

Publikováno v: Active Inference: First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020 : proceedings, 179-186
STARTPAGE=179;ENDPAGE=186;TITLE=Active Inference
Active Inference ISBN: 9783030649180

In this paper, we combine sophisticated and deep-parametric active inference to create an agent whose affective states change as a consequence of its Bayesian beliefs about how possible future outcomes will affect future beliefs. To achieve this, we

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::845f76a3db9767d5cb699327fc838022
https://hdl.handle.net/11245.1/6bc68a6e-0e92-44f7-baad-713fefd3e8d4

Ideas Worth Spreading: A Free Energy Proposal for Cumulative Cultural Dynamics

Autor: Kastel, N., Hesp, C., Kamp, M., Koprinska, I., Bibal, A., Bouadi, T., Frénay, B., Galárraga, L., Oramas, J., Adilova, L.

Publikováno v: Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings, I, 784-798
Communications in Computer and Information Science ISBN: 9783030937355

While there is a fast growing body of theoretical work on characterizing cumulative culture, quantifiable models underlining its dynamics remain scarce. This paper provides an active-inference formalization and accompanying simulations of cumulative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff830de4d5aa3f8089298a432057a151
https://doi.org/10.1007/978-3-030-93736-2_55