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Journal Article

Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle

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Genewein,  Tim
Research Group Sensorimotor Learning and Decision-making, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Leibfried,  Felix
Research Group Sensorimotor Learning and Decision-making, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Grau-Moya,  Jordi
Research Group Sensorimotor Learning and Decision-making, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Braun,  Daniel A
Research Group Sensorimotor Learning and Decision-making, Max Planck Institute for Intelligent Systems, Max Planck Society;
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Genewein, T., Leibfried, F., Grau-Moya, J., & Braun, D. A. (2015). Bounded rationality, abstraction and hierarchical decision-making: an information-theoretic optimality principle. Frontiers in Robotics and AI, 2: 27. doi:10.3389/frobt.2015.00027.


Cite as: https://hdl.handle.net/11858/00-001M-0000-002A-556D-7
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