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Updated: Aug 13, 2025

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
Published on: September 19, 2012
Deterministic and probabilistic regularities underlying risky choices are acquired in a changing decision context.
Andrea Kóbor1, Eszter Tóth-Fáber2,3,4, Zsófia Kardos5,6
1Brain Imaging Centre, Research Centre for Natural Sciences, Magyar tudósok körútja 2, 1117, Budapest, Hungary. kobor.andrea@ttk.hu.
Humans can adapt risky decisions to changing environments by learning temporal patterns in outcome probabilities. This sensitivity to statistical structures persists even when probabilities become unpredictable.
Area of Science:
- Cognitive psychology
- Decision science
- Behavioral economics
Background:
- Adapting to changing environments is crucial for decision-making.
- Unreliable predictions hinder adaptation when outcome probabilities shift.
- Understanding the development and persistence of sensitivity to temporal structures is key.
Purpose of the Study:
- To investigate if sensitivity to temporal structures in outcome probabilities can develop and persist.
- To examine adaptation in risky decision-making within a dynamic environment.
- To assess the impact of predictable versus unpredictable outcome phases on sensitivity.
Main Methods:
- Utilized a variant of the Balloon Analogue Risk Task (BART) with 90 balloons.
- Introduced predictable outcome probabilities in the first and final 30 balloons, and unpredictable in the middle 30.
- Implemented three conditions: deterministic, probabilistic, and hybrid temporal regularities.
Main Results:
- Sensitivity to deterministic and hybrid regularities emerged and influenced risk-taking behavior.
- The unpredictable middle phase did not diminish the developed sensitivity to temporal structures.
- Participants adapted their risky choices by exploiting underlying statistical regularities.
Conclusions:
- Humans demonstrate an adaptive capacity to exploit statistical structures in changing environments.
- Sensitivity to temporal patterns in outcome probabilities can be acquired and maintained.
- This adaptation supports effective risky decision-making despite environmental volatility.
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