Literature DB >> 19913345

Adapted to explore: reinforcement learning in Autistic Spectrum Conditions.

Eldad Yechiam1, Olga Arshavsky, Simone G Shamay-Tsoory, Shoshana Yaniv, Judith Aharon.   

Abstract

Recent studies have recorded a tendency of individuals with Autism Spectrum Conditions (ASC) to continually change their choices in repeated choice tasks. In the current study we examine if this finding implies that ASC individuals have a cognitive style that facilitates exploration and discovery. Six decision tasks were administered to adolescents with ASC and matched controls. Significant differences in shifting between choice options appeared in the Iowa Gambling task (Bechara, Damasio, Damasio, & Anderson, 1994). A formal cognitive modeling analysis demonstrated that for about half of the ASC participants the adaptation process did not conform to the standard reinforcement learning model. These individuals were only coarsely affected by choice-outcomes, and were more influenced by the exploratory value of choices, being attracted to previously un-explored alternatives. An examination of the five simpler decision tasks where the advantageous option was easier to determine showed no evidence of this pattern, suggesting that the shifting choice pattern is not an uncontrollable tendency independent of task outcomes. These findings suggest that ASC individuals have a unique adaptive learning style, which may be beneficial is some learning environment but maladaptive in others, particularly in social contexts. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19913345     DOI: 10.1016/j.bandc.2009.10.005

Source DB:  PubMed          Journal:  Brain Cogn        ISSN: 0278-2626            Impact factor:   2.310


  14 in total

1.  Understanding self-reported difficulties in decision-making by people with autism spectrum disorders.

Authors:  Lydia Vella; Howard A Ring; Mike Rf Aitken; Peter C Watson; Alexander Presland; Isabel Ch Clare
Journal:  Autism       Date:  2017-04-20

2.  Flourishing in children with autism spectrum disorders.

Authors:  Claudia L Hilton; Karen Ratcliff; Diane M Collins; Joanne Flanagan; Ickpyo Hong
Journal:  Autism Res       Date:  2019-03-26       Impact factor: 5.216

3.  Atypical gaze following in autism: a comparison of three potential mechanisms.

Authors:  K Gillespie-Lynch; R Elias; P Escudero; T Hutman; S P Johnson
Journal:  J Autism Dev Disord       Date:  2013-12

4.  Reward-based decision making and electrodermal responding by young children with autism spectrum disorders during a gambling task.

Authors:  Susan Faja; Michael Murias; Theodore P Beauchaine; Geraldine Dawson
Journal:  Autism Res       Date:  2013-07-24       Impact factor: 5.216

5.  A connectionist model of category learning by individuals with high-functioning autism spectrum disorder.

Authors:  Alexander Dovgopoly; Eduardo Mercado
Journal:  Cogn Affect Behav Neurosci       Date:  2013-06       Impact factor: 3.526

6.  Computational modeling reveals distinct effects of HIV and history of drug use on decision-making processes in women.

Authors:  Jasmin Vassileva; Woo-Young Ahn; Kathleen M Weber; Jerome R Busemeyer; Julie C Stout; Raul Gonzalez; Mardge H Cohen
Journal:  PLoS One       Date:  2013-08-07       Impact factor: 3.240

7.  Unique Internet Search Strategies of Individuals With Self-Stated Autism: Quantitative Analysis of Search Engine Users' Investigative Behaviors.

Authors:  Eldad Yechiam; Elad Yom-Tov
Journal:  J Med Internet Res       Date:  2021-07-06       Impact factor: 5.428

8.  The Role of Decision-Making in Psychological Wellbeing and Risky Behaviours in Autistic Adolescents Without ADHD: Longitudinal Evidence from the UK Millennium Cohort Study.

Authors:  Mariko Hosozawa; William Mandy; Noriko Cable; Eirini Flouri
Journal:  J Autism Dev Disord       Date:  2020-11-16

9.  Similarities and Differences in Decision-Making Impairments between Autism Spectrum Disorder and Schizophrenia.

Authors:  Long Zhang; Jiulai Tang; Yi Dong; Yifu Ji; Rui Tao; Zhitu Liang; Jingsong Chen; Yun Wu; Kai Wang
Journal:  Front Behav Neurosci       Date:  2015-09-23       Impact factor: 3.558

10.  Decomposing the roles of perseveration and expected value representation in models of the Iowa gambling task.

Authors:  Darrell A Worthy; Bo Pang; Kaileigh A Byrne
Journal:  Front Psychol       Date:  2013-09-30
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