Literature DB >> 11867709

Framing effects and risky decisions in starlings.

Barnaby Marsh1, Alex Kacelnik.   

Abstract

Animals are predominantly risk prone toward reward delays and risk averse toward reward amounts. Humans in turn tend to be risk-seeking for losses and risk averse for gains. To explain the human results, Prospect Theory postulates a convex utility for losses and concave utility for gains. In contrast, Scalar Utility Theory (SUT) explains the animal data by postulating that the cognitive representation of outcomes follows Weber's Law, namely that the spread of the distribution of expected outcomes is proportional to its mean. SUT also would explain human results if utility (even if it is linear on expected outcome) followed Weber's Law. We present an experiment that simulates losses and gains in a bird, the European Starling, to test the implication of SUT that risk proneness/aversion should extend to any aversive/desirable dimension other than time and amount of reward. Losses and gains were simulated by offering choices of fixed vs. variable outcomes with lower or higher outcomes than what the birds expected. The subjects were significantly more risk prone for losses than for gains but, against expectations, they were not significantly risk averse toward gains. The results are thus, in part, consistent with Prospect Theory and SUT and show that risk attitude in humans and birds may obey a common fundamental principle.

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Mesh:

Year:  2002        PMID: 11867709      PMCID: PMC122522          DOI: 10.1073/pnas.042491999

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  5 in total

1.  Risk-sensitive choice in humans as a function of an earnings budget.

Authors:  C J Pietras; T D Hackenberc
Journal:  J Exp Anal Behav       Date:  2001-07       Impact factor: 2.468

2.  The role of frustrative nonreward in noncontinuous reward situations.

Authors:  A AMSEL
Journal:  Psychol Bull       Date:  1958-03       Impact factor: 17.737

3.  The Influence of Framing on Risky Decisions: A Meta-analysis.

Authors: 
Journal:  Organ Behav Hum Decis Process       Date:  1998-07

4.  Risky choice and Weber's Law.

Authors:  A Kacelnik; F Brito e Abreu
Journal:  J Theor Biol       Date:  1998-09-21       Impact factor: 2.691

5.  Scalar expectancy theory and choice between delayed rewards.

Authors:  J Gibbon; R M Church; S Fairhurst; A Kacelnik
Journal:  Psychol Rev       Date:  1988-01       Impact factor: 8.934

  5 in total
  39 in total

1.  What's in a frame? Response to Kanngiesser & Woike (2016).

Authors:  Christopher Krupenye; Alexandra G Rosati; Brian Hare
Journal:  Biol Lett       Date:  2016-01       Impact factor: 3.703

2.  Framing the debate on human-like framing effects in bonobos and chimpanzees: a comment on Krupenye et al. (2015).

Authors:  Patricia Kanngiesser; Jan K Woike
Journal:  Biol Lett       Date:  2016-01       Impact factor: 3.703

3.  Exploring preferences for variable delays over fixed delays to high-value food rewards as a model of food-seeking behaviours in humans.

Authors:  Laura-Jean G Stokes; Anna Davies; Paul Lattimore; Catharine Winstanley; Robert D Rogers
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-02-18       Impact factor: 6.237

Review 4.  Unpredictability as a modulator of drug self-administration: Relevance for substance-use disorders.

Authors:  Sally L Huskinson
Journal:  Behav Processes       Date:  2020-06-08       Impact factor: 1.777

Review 5.  Calculating utility: preclinical evidence for cost-benefit analysis by mesolimbic dopamine.

Authors:  Paul E M Phillips; Mark E Walton; Thomas C Jhou
Journal:  Psychopharmacology (Berl)       Date:  2006-11-22       Impact factor: 4.530

6.  Midbrain dopamine neurons encode a quantitative reward prediction error signal.

Authors:  Hannah M Bayer; Paul W Glimcher
Journal:  Neuron       Date:  2005-07-07       Impact factor: 17.173

7.  A neural network model of foraging decisions made under predation risk.

Authors:  Scott L Coleman; Vincent R Brown; Daniel S Levine; Roger L Mellgren
Journal:  Cogn Affect Behav Neurosci       Date:  2005-12       Impact factor: 3.282

8.  Cognitive influences on risk-seeking by rhesus macaques.

Authors:  Benjamin Y Hayden; Sarah R Heilbronner; Amrita C Nair; Michael L Platt
Journal:  Judgm Decis Mak       Date:  2008-06-01

Review 9.  Foraging for foundations in decision neuroscience: insights from ethology.

Authors:  Dean Mobbs; Pete C Trimmer; Daniel T Blumstein; Peter Dayan
Journal:  Nat Rev Neurosci       Date:  2018-07       Impact factor: 34.870

10.  Mechanisms of Individual Differences in Impulsive and Risky Choice in Rats.

Authors:  Kimberly Kirkpatrick; Andrew T Marshall; Aaron P Smith
Journal:  Comp Cogn Behav Rev       Date:  2015
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