کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
924792 921271 2010 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adapted to explore: Reinforcement learning in Autistic Spectrum Conditions
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Adapted to explore: Reinforcement learning in Autistic Spectrum Conditions
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Brain and Cognition - Volume 72, Issue 2, March 2010, Pages 317–324
نویسندگان
, , , , ,