Construct · 3 names · 4 citations

Where does ambiguity aversion collide?

Different names. Different fields. One construct. One map.

● jangle · one attitude, many model names Nearest construct by meaningambiguitycompare the meanings
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Every construct on the map is compared with every other by the meaning of its definitions, and the closest one is surfaced here. The nearest construct to ambiguity aversion is ambiguity.

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ambiguityaversion3 NAMESEllsberg paradoxELLSBERG · PARADOXMaxmin utilityGILBOA · MAXMIN EUNeural ambiguityHSU · NEURAL SIGNAL

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2026

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Decision theory

people's preference for bets with known odds over otherwise identical bets with unknown odds, which violates expected-utility theory.

The behavioural pattern at the root of the construct: offered a bet on a draw from an urn with a known fifty-fifty split, and an otherwise identical bet on an urn whose split is unknown, most people prefer the known odds for either colour, a choice that no single assignment of probabilities can rationalise. Ellsberg's 1961 Risk, Ambiguity, and the Savage Axioms set out this pattern and showed it violates the sure-thing principle of expected-utility theory, marking off a distaste for unknown odds from ordinary caution about known ones. This laboratory paradox is the same preference the later traditions rename and remodel, a reluctance to act when the probabilities themselves are not pinned down.[1]

Unit
A choice between a bet on known odds and a bet on unknown odds
Recovery means
Not applicable
Measured by
Observed as the share of people who pay to switch from an ambiguous bet to an equivalent bet on known odds

Economics of uncertainty

a decision rule that holds a set of possible probability distributions and scores each act by its worst-case expected value.

The formal decision theory built to accommodate the paradox: rather than one probability, the decision-maker holds a set of possible probability distributions and scores each act by its worst-case expected value across that set, so a wider set of beliefs, meaning more ambiguity, lowers the value of an ambiguous bet. Gilboa and Schmeidler's 1989 Maxmin expected utility with non-unique prior gave the axioms for this maxmin rule, and Camerer and Weber's 1992 Recent developments in modeling preferences: Uncertainty and ambiguity reviewed how such models reproduce the Ellsberg findings. This is the Ellsberg preference again, now written as a rule over a set of priors rather than observed as a puzzle in a bet.[2][3]

Unit
An act scored by its worst expected value across a set of priors
Recovery means
Not applicable
Measured by
Fitted by estimating the size of the belief set, or an ambiguity-aversion parameter, from choices over ambiguous and risky bets

Neuroeconomics

distinct neural responses to choices with missing information about odds, tracking how strongly a person avoids ambiguous options.

The same construct located in the brain: when people choose under ambiguity, meaning missing information about the odds, rather than under known risk, distinct neural circuits respond differently, and the difference tracks how strongly a person avoids ambiguous options. Hsu, Bhatt, Adolphs, Tranel, and Camerer's 2005 Neural Systems Responding to Degrees of Uncertainty in Human Decision-Making reported that the level of information about the odds engaged the amygdala and orbitofrontal cortex, and that patients with damage to that region were less sensitive to the difference between risk and ambiguity. Here the construct is read as a physiological signal, but it is the same aversion Ellsberg found in a bet and Gilboa and Schmeidler wrote as a rule.[4]

Unit
A neural response contrasting ambiguous with risky choices
Recovery means
Not applicable
Measured by
Recorded by functional MRI as differential brain activation, and probed by choice deficits after orbitofrontal lesions

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Nearby collisions

risk6 fields · 13 citationsjingle · one name, six constructsloss aversion3 names · 4 citationsjangle · losses loom larger, across three fieldsambiguity5 fields · 6 citationsjingle · one word, five constructs

References

  1. Ellsberg, D. (1961). Risk, ambiguity, and the Savage axioms. The Quarterly Journal of Economics, 75(4), 643–669. https://doi.org/10.2307/1884324
  2. Gilboa, I., & Schmeidler, D. (1989). Maxmin expected utility with non-unique prior. Journal of Mathematical Economics, 18(2), 141–153. https://doi.org/10.1016/0304-4068(89)90018-9
  3. Camerer, C., & Weber, M. (1992). Recent developments in modeling preferences: Uncertainty and ambiguity. Journal of Risk and Uncertainty, 5(4), 325–370. https://doi.org/10.1007/BF00122575
  4. Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005). Neural systems responding to degrees of uncertainty in human decision-making. Science, 310(5754), 1680–1683. https://doi.org/10.1126/science.1115327

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