Editorial to "Decision theory and the future of AI".
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- Synthese, 2021, v. 198, n. 27, p. 6413, doi. 10.1007/s11229-021-03316-z
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- Publication type:
- Article
Works matching IS 00397857 AND DT 2021 AND VI 198 AND IP 27
Results: 8
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Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective.
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- Synthese, 2021, v. 198, n. 27, p. 6435, doi. 10.1007/s11229-021-03141-4
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- Article
3
Subjective causal networks and indeterminate suppositional credences.
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- Synthese, 2021, v. 198, n. 27, p. 6571, doi. 10.1007/s11229-019-02512-2
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- Article
4
A classification of Newcomb problems and decision theories.
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- Synthese, 2021, v. 198, n. 27, p. 6415, doi. 10.1007/s11229-019-02272-z
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- Article
5
Causal concepts and temporal ordering.
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- Synthese, 2021, v. 198, n. 27, p. 6505, doi. 10.1007/s11229-019-02235-4
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- Article
6
Approval-directed agency and the decision theory of Newcomb-like problems.
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- Synthese, 2021, v. 198, n. 27, p. 6491, doi. 10.1007/s11229-019-02148-2
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- Article
7
Intuition, intelligence, data compression.
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- Synthese, 2021, v. 198, n. 27, p. 6469, doi. 10.1007/s11229-019-02118-8
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- Article
8
Desirability foundations of robust rational decision making.
- Published in:
- Synthese, 2021, v. 198, n. 27, p. 6529, doi. 10.1007/s11229-018-02010-x
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- Publication type:
- Article