Intrinsic Valuation of Information in Decision Making under Uncertainty

@inproceedings{Bennett2016IntrinsicVO,
  title={Intrinsic Valuation of Information in Decision Making under Uncertainty},
  author={Daniel Bennett and Stefan Bode and Maja Brydevall and Hayley Warren and Carsten Murawski},
  booktitle={PLoS Computational Biology},
  year={2016}
}
In a dynamic world, an accurate model of the environment is vital for survival, and agents ought regularly to seek out new information with which to update their world models. This aspect of behaviour is not captured well by classical theories of decision making, and the cognitive mechanisms of information seeking are poorly understood. In particular, it is not known whether information is valued only for its instrumental use, or whether humans also assign it a non-instrumental intrinsic value… CONTINUE READING
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Applied Statistical Decision Theory. Cambridge, MA: Division of Research, Graduate School of Business Administration

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  • 1961
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