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Intrinsic Valuation of Information in Decision Making under Uncertainty

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  • Daniel Bennett
  • Stefan Bode
  • Maja Brydevall
  • Hayley Warren
  • Carsten Murawski

Abstract

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. To address this question, the present study assessed preference for non-instrumental information among 80 healthy participants in two experiments. Participants performed a novel information preference task in which they could choose to pay a monetary cost to receive advance information about the outcome of a monetary lottery. Importantly, acquiring information did not alter lottery outcome probabilities. We found that participants were willing to incur considerable monetary costs to acquire payoff-irrelevant information about the lottery outcome. This behaviour was well explained by a computational cognitive model in which information preference resulted from aversion to temporally prolonged uncertainty. These results strongly suggest that humans assign an intrinsic value to information in a manner inconsistent with normative accounts of decision making under uncertainty. This intrinsic value may be associated with adaptive behaviour in real-world environments by producing a bias towards exploratory and information-seeking behaviour.Author Summary: Acquiring information about the external world is vital for planning and decision making. However, recent research has shown that some animals choose to acquire information at considerable cost even when the information is of no practical benefit, a counter-intuitive behavior associated with suboptimal outcomes. In this study, we demonstrate that humans also engage in this suboptimal behavior by forfeiting future monetary reward in exchange for early but unusable information about future outcomes. Our results suggest that participants attach a value to information beyond its purely instrumental value. This preference for information may help account for apparent anomalies in human choice behavior such as compulsive checking behaviors in obsessive-compulsive disorder, and excessive and wasteful use of uninformative laboratory testing in hospitals.

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  • Daniel Bennett & Stefan Bode & Maja Brydevall & Hayley Warren & Carsten Murawski, 2016. "Intrinsic Valuation of Information in Decision Making under Uncertainty," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-21, July.
  • Handle: RePEc:plo:pcbi00:1005020
    DOI: 10.1371/journal.pcbi.1005020
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    1. Kocher, Martin G. & Krawczyk, Michal & van Winden, Frans, 2014. "‘Let me dream on!’ Anticipatory emotions and preference for timing in lotteries," Journal of Economic Behavior & Organization, Elsevier, vol. 98(C), pages 29-40.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Larry G. Epstein & Stanley E. Zin, 2013. "Substitution, risk aversion and the temporal behavior of consumption and asset returns: A theoretical framework," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 12, pages 207-239, World Scientific Publishing Co. Pte. Ltd..
    4. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    5. Chew, Soo Hong & Ho, Joanna L, 1994. "Hope: An Empirical Study of Attitude toward the Timing of Uncertainty Resolution," Journal of Risk and Uncertainty, Springer, vol. 8(3), pages 267-288, May.
    6. Alexander L. Brown & Hwagyun Kim, 2014. "Do Individuals Have Preferences Used in Macro-Finance Models? An Experimental Investigation," Management Science, INFORMS, vol. 60(4), pages 939-958, April.
    7. Grant, Simon & Kajii, Atsushi & Polak, Ben, 1998. "Intrinsic Preference for Information," Journal of Economic Theory, Elsevier, vol. 83(2), pages 233-259, December.
    8. Mørkbak, Morten Raun & Olsen, Søren Bøye & Campbell, Danny, 2014. "Behavioral implications of providing real incentives in stated choice experiments," Journal of Economic Psychology, Elsevier, vol. 45(C), pages 102-116.
    9. Andrew Caplin & John Leahy, 2001. "Psychological Expected Utility Theory and Anticipatory Feelings," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 55-79.
    10. Larry G. Epstein, 2008. "Living with Risk," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(4), pages 1121-1141.
    11. Eliaz, Kfir & Schotter, Andrew, 2010. "Paying for confidence: An experimental study of the demand for non-instrumental information," Games and Economic Behavior, Elsevier, vol. 70(2), pages 304-324, November.
    12. Nicky J. Welton & Howard H. Z. Thom, 2015. "Value of Information," Medical Decision Making, , vol. 35(5), pages 564-566, July.
    13. Hirshleifer, J & Riley, John G, 1979. "The Analytics of Uncertainty and Information-An Expository Survey," Journal of Economic Literature, American Economic Association, vol. 17(4), pages 1375-1421, December.
    14. Emma Pierson & Noah Goodman, 2014. "Uncertainty and Denial: A Resource-Rational Model of the Value of Information," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    15. Nathaniel D. Daw & John P. O'Doherty & Peter Dayan & Ben Seymour & Raymond J. Dolan, 2006. "Cortical substrates for exploratory decisions in humans," Nature, Nature, vol. 441(7095), pages 876-879, June.
    16. Shane Frederick & George Loewenstein & Ted O'Donoghue, 2002. "Time Discounting and Time Preference: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 351-401, June.
    17. Bruno B Averbeck, 2015. "Theory of Choice in Bandit, Information Sampling and Foraging Tasks," PLOS Computational Biology, Public Library of Science, vol. 11(3), pages 1-28, March.
    18. Kreps, David M & Porteus, Evan L, 1978. "Temporal Resolution of Uncertainty and Dynamic Choice Theory," Econometrica, Econometric Society, vol. 46(1), pages 185-200, January.
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    Cited by:

    1. Rommeswinkel, Hendrik & Chang, Hung-Chi & Hsu, Wen-Tai, 2023. "Preference for Knowledge," Journal of Economic Theory, Elsevier, vol. 214(C).
    2. Lane, Tom, 2022. "Intrinsic preferences for unhappy news," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 119-130.
    3. Isaac Fradkin & Casimir Ludwig & Eran Eldar & Jonathan D Huppert, 2020. "Doubting what you already know: Uncertainty regarding state transitions is associated with obsessive compulsive symptoms," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-26, February.
    4. Sebastian P. H. Speer & Laetitia Mwilambwe-Tshilobo & Lily Tsoi & Shannon M. Burns & Emily B. Falk & Diana I. Tamir, 2024. "Hyperscanning shows friends explore and strangers converge in conversation," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    5. Haoyang Lu & Li Yi & Hang Zhang, 2019. "Autistic traits influence the strategic diversity of information sampling: Insights from two-stage decision models," PLOS Computational Biology, Public Library of Science, vol. 15(12), pages 1-29, December.

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