Decision Theory and the Future of AI
Decision Theory and the Future of AI
Liu, Yang; Price, Huw; Hartmann, Stephan
Springer International Publishing AG
10/2023
185
Mole
Inglês
9783031192845
15 a 20 dias
Descrição não disponível.
Editorial to "Decision theory and the future of AI".- A classification of Newcomb problems and decision theories.- Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective.- Intuition, intelligence, data compression.- Approval-directed agency and the decision theory of Newcomb-like problems.- Causal concepts and temporal ordering.- Desirability foundations of robust rational decision making.- Subjective causal networks and indeterminate suppositional credences.
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synthese technology;huw price;AI and philosophy;decision theory and philosophy;interdisciplinary decision theory;philosophy of science and AI;analytic philosophy and AI
Editorial to "Decision theory and the future of AI".- A classification of Newcomb problems and decision theories.- Reward tampering problems and solutions in reinforcement learning: a causal influence diagram perspective.- Intuition, intelligence, data compression.- Approval-directed agency and the decision theory of Newcomb-like problems.- Causal concepts and temporal ordering.- Desirability foundations of robust rational decision making.- Subjective causal networks and indeterminate suppositional credences.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.