Intrinsic Valuation of Information in Decision Making under Uncertainty

PLoS Comput Biol. 2016 Jul 14;12(7):e1005020. doi: 10.1371/journal.pcbi.1005020. eCollection 2016 Jul.

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Algorithms
  • Computational Biology
  • Decision Making / physiology*
  • Female
  • Humans
  • Information Seeking Behavior / physiology*
  • Male
  • Risk-Taking*
  • Uncertainty*
  • Young Adult

Grants and funding

This work was supported by a Faculty of Business and Economics (http://fbe.unimelb.edu.au/) Strategic Initiatives Grant 2011 to SB and CM, and by an Australian Research Council (http://www.arc.gov.au/) Discovery Early Career Researcher Award (DE140100350) to SB. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.