Literature DB >> 17210963

Parameters of variable reward distributions that affect risk sensitivity of honey bees.

Tamar Drezner-Levy1, Sharoni Shafir.   

Abstract

We investigated risk sensitivity with harnessed honey bees in a proboscis-extension conditioning paradigm. We conditioned each subject to turn its head and extend its proboscis towards one of two presented odors; one odor was associated with a constant reward and the other with a variable reward that was either low or high, with probabilities P and (1-P), respectively. Reward values and probabilities were set so that the expected value of the variable alternative was equal to that of the constant one. We performed six experimental conditions in which variability was in reward volume and three conditions in which variability was in reward concentration. The experiments were designed to systematically test the effect of various parameters that describe the reward distributions on levels of risk sensitivity. Risk aversion was greatest when variability was in reward volume, and the variable distribution included zero rewards and had a high coefficient of variation (CV=s.d./mean). The variance itself did not affect risk sensitivity. Subjects were risk indifferent when the variable distribution did not include zero rewards, however these distributions were positively skewed. The independent effects of zero rewards and distribution skew remain to be tested. Subjects were risk indifferent in conditions where variability was in reward concentration, but concentration range was limited and these distributions did not include zero rewards and were skewed. We conclude that risk aversion to variability in reward amount is a robust phenomenon for some reward distributions. A systematic evaluation of the effect of various reward distribution parameters on choice behavior should complement functional and mechanistic approaches.

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Mesh:

Year:  2007        PMID: 17210963     DOI: 10.1242/jeb.02656

Source DB:  PubMed          Journal:  J Exp Biol        ISSN: 0022-0949            Impact factor:   3.312


  7 in total

Review 1.  Uncertainty processing in bees exposed to free choices: Lessons from vertebrates.

Authors:  Patrick Anselme
Journal:  Psychon Bull Rev       Date:  2018-12

2.  Conformist social learning leads to self-organised prevention against adverse bias in risky decision making.

Authors:  Wataru Toyokawa; Wolfgang Gaissmaier
Journal:  Elife       Date:  2022-05-10       Impact factor: 8.713

3.  A computational framework for understanding decision making through integration of basic learning rules.

Authors:  Maxim Bazhenov; Ramon Huerta; Brian H Smith
Journal:  J Neurosci       Date:  2013-03-27       Impact factor: 6.167

4.  Reward quality influences the development of learned olfactory biases in honeybees.

Authors:  Geraldine A Wright; Amir F Choudhary; Michael A Bentley
Journal:  Proc Biol Sci       Date:  2009-04-15       Impact factor: 5.349

5.  Learning reward expectations in honeybees.

Authors:  Mariana Gil; Rodrigo J De Marco; Randolf Menzel
Journal:  Learn Mem       Date:  2007-07-12       Impact factor: 2.460

6.  Risk-Based Decision Making: A Systematic Scoping Review of Animal Models and a Pilot Study on the Effects of Sleep Deprivation in Rats.

Authors:  Cathalijn H C Leenaars; Stevie Van der Mierden; Ruud N J M A Joosten; Marnix A Van der Weide; Mischa Schirris; Maurice Dematteis; Franck L B Meijboom; Matthijs G P Feenstra; André Bleich
Journal:  Clocks Sleep       Date:  2021-01-20

7.  A proboscis extension response protocol for investigating behavioral plasticity in insects: application to basic, biomedical, and agricultural research.

Authors:  Brian H Smith; Christina M Burden
Journal:  J Vis Exp       Date:  2014-09-08       Impact factor: 1.355

  7 in total

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