Volume 198, Issue 27 supplement

November 2021

Special Issue on Decision Theory and the Future of AI

Issue Editors:

8 articles in this issue

Editorial to “Decision theory and the future of AI”
Yang Liu
Stephan Hartmann
Huw Price
S.I. : DecTheory&FutOfAI 12 September 2021 Pages: 6413 - 6414
A classification of Newcomb problems and decision theories
Kenny Easwaran
S.I.: DecTheory&FutOfAI 30 May 2019 Pages: 6415 - 6434
Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective
Tom Everitt
Marcus Hutter
Victoria Krakovna
S.I.: DecTheory&FutOfAI 19 May 2021 Pages: 6435 - 6467
Intuition, intelligence, data compression
Jens Kipper
S.I.: DecTheory&FutOfAI 07 February 2019 Pages: 6469 - 6489
Approval-directed agency and the decision theory of Newcomb-like problems
Caspar Oesterheld
S.I.: DecTheory&FutOfAI Open access 25 February 2019 Pages: 6491 - 6504
Causal concepts and temporal ordering
Reuben Stern
S.I.: DecTheory&FutOfAI 03 May 2019 Pages: 6505 - 6527
Desirability foundations of robust rational decision making
Marco Zaffalon
Enrique Miranda
S.I.: DecTheory&FutOfAI 11 November 2018 Pages: 6529 - 6570
Subjective causal networks and indeterminate suppositional credences
Jiji Zhang
Teddy Seidenfeld
Hailin Liu
S.I.: DecTheory&FutOfAI 17 December 2019 Pages: 6571 - 6597

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