Information based explanation methods for deep learning agents—with applications on large open-source chess models

With large chess-playing neural network models like AlphaZero contesting the state of the art within the world of computerised chess, two challenges present themselves: the question of how to explain the domain knowledge internalised by such models, and the problem that such models are not made open...

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Veröffentlicht in:	Scientific reports Jg. 14; H. 1; S. 20174 - 10
Hauptverfasser:	Hammersborg, Patrik, Strümke, Inga
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 30.08.2024 Nature Publishing Group Nature Portfolio
Schlagworte:	639/705/117 639/705/258 Deep learning Humanities and Social Sciences Initiatives Methods multidisciplinary Neural networks Science Science (multidisciplinary)
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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