Literature DB >> 20217196

An animal model of slot machine gambling: the effect of structural characteristics on response latency and persistence.

Heather Peters1, Maree Hunt, David Harper.   

Abstract

Despite the prevalence of problem gamblers and the ethical issues involved in studying gambling behavior with humans, few animal models of gambling have been developed. When designing an animal model it is necessary to determine if behavior in the paradigm is similar to human gambling. In human studies, response latencies following winning trials and near win trials are greater than those following clear losses. Weatherly and Derenne (Anal Gambl Behav 1:79-89, 2007) investigated whether this pattern was found with rats working in an animal analogue of slot machine gambling. They found a similar pattern of response latencies but the subjects' behavior did not come under control of the visual stimuli signalling the different outcomes. The animal model of slot machine gambling we used addressed procedural issues in Weatherly and Derenne's model and examined whether reinforcer magnitude and the presence of near win trials influenced response latency and resistance to extinction. Response latencies of the six female Norway Hooded rats varied as a function of reinforcer magnitude and the presence of near-win trials. These results are consistent with prior research and with the idea that near win trials serve as conditional reinforcers.

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Mesh:

Year:  2010        PMID: 20217196     DOI: 10.1007/s10899-010-9183-3

Source DB:  PubMed          Journal:  J Gambl Stud        ISSN: 1050-5350


  8 in total

1.  Temporal characteristics of slot machine play in recreational gamblers.

Authors:  J Schreiber; M R Dixon
Journal:  Psychol Rep       Date:  2001-08

2.  Effects of the "near miss" and the "big win" on persistence at slot machine gambling.

Authors:  J I Kassinove; M L Schare
Journal:  Psychol Addict Behav       Date:  2001-06

3.  Symbols presentation modality as a determinant of gambling behavior.

Authors:  Robert Ladouceur; Serge Sévigny
Journal:  J Psychol       Date:  2002-07

4.  Comparing the New Zealand and Swedish national surveys of gambling and problem gambling.

Authors:  Max W Abbott; Rachel A Volberg; Sten Rönnberg
Journal:  J Gambl Stud       Date:  2004

Review 5.  Toward an animal model of gambling: delay discounting and the allure of unpredictable outcomes.

Authors:  Gregory J Madden; Eric E Ewan; Carla H Lagorio
Journal:  J Gambl Stud       Date:  2006-12-15

6.  Using a computer simulation of three slot machines to investigate a gambler's preference among varying densities of near-miss alternatives.

Authors:  Otrro H MacLin; Mark R Dixon; Dustin Daugherty; Stacey L Small
Journal:  Behav Res Methods       Date:  2007-05

7.  Temporal presentation of winning symbols and slot-machine playing.

Authors:  L H Strickland; F W Grote
Journal:  J Exp Psychol       Date:  1967-05

8.  Near wins prolong gambling on a video lottery terminal.

Authors:  Denis Côté; Anne Caron; Jonathan Aubert; Véronique Desrochers; Robert Ladouceur
Journal:  J Gambl Stud       Date:  2003
  8 in total
  16 in total

1.  Near Misses in Slot Machine Gambling Developed Through Generalization of Total Wins.

Authors:  Jordan Belisle; Mark R Dixon
Journal:  J Gambl Stud       Date:  2016-06

2.  The frustrating effects of just missing the jackpot: slot machine near-misses trigger large skin conductance responses, but no post-reinforcement pauses.

Authors:  Mike J Dixon; Vance MacLaren; Michelle Jarick; Jonathan A Fugelsang; Kevin A Harrigan
Journal:  J Gambl Stud       Date:  2013-12

3.  Predictors of return rate discrimination in slot machine play.

Authors:  Ewan Coates; Alex Blaszczynski
Journal:  J Gambl Stud       Date:  2014-09

4.  Upping the Reinforcement Rate by Playing the Maximum Lines in Multi-line Slot Machine Play.

Authors:  Jeffrey A Templeton; Mike J Dixon; Kevin A Harrigan; Jonathan A Fugelsang
Journal:  J Gambl Stud       Date:  2015-09

5.  Reinforcement learning models of risky choice and the promotion of risk-taking by losses disguised as wins in rats.

Authors:  Andrew T Marshall; Kimberly Kirkpatrick
Journal:  J Exp Psychol Anim Learn Cogn       Date:  2017-07       Impact factor: 2.478

6.  Understanding Addiction Using Animal Models.

Authors:  Brittany N Kuhn; Peter W Kalivas; Ana-Clara Bobadilla
Journal:  Front Behav Neurosci       Date:  2019-11-29       Impact factor: 3.558

7.  Uncertainty exposure causes behavioural sensitization and increases risky decision-making in male rats: toward modelling gambling disorder.

Authors:  Fiona D Zeeb; Zhaoxia Li; Daniel C Fisher; Martin H Zack; Paul J Fletcher
Journal:  J Psychiatry Neurosci       Date:  2017-11       Impact factor: 6.186

8.  Modeling risky decision-making in nonhuman animals: shared core features.

Authors:  Sarah R Heilbronner
Journal:  Curr Opin Behav Sci       Date:  2017-08

9.  An analysis of switching and non-switching slot machine player behaviour.

Authors:  Ewan Coates; Alex Blaszczynski
Journal:  J Gambl Stud       Date:  2013-12

10.  Procedural Performance Benefits after Excitotoxic Hippocampal Lesions in the Rat Sequential Reaction Time Task.

Authors:  Sebastian Busse; Rainer K W Schwarting
Journal:  Neurotox Res       Date:  2015-08-02       Impact factor: 3.911

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