Volume 6, Issue 3 (12-2018)                   JCP 2018, 6(3): 11-20 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Mansourian H, Nesari A, Moradi A, Mohamadi B. Computational modeling of dynamic decision making using connectionist networks. JCP 2018; 6 (3) :11-20
URL: http://jcp.khu.ac.ir/article-1-3033-en.html
Kharazmi University , moradi@khu.ac.ir
Abstract:   (3696 Views)
In this research connectionist modeling of decision making has been presented. Important areas for decision making in the brain are thalamus, prefrontal cortex and Amygdala. Connectionist modeling with 3 parts representative for these 3 areas is made based the result of Iowa Gambling Task. In many researches Iowa Gambling Task is used to study emotional decision making. In these kind of decision making the role of Amygdala is so important and we expect that a model with two parts (thalamus and Amygdala) can have the best result in modeling participants decisions without considering any part for cortex process. For this purpose 56 participants composed of 20 men and 36 women wanted to do Iowa Gambling Task. Results show that the networks related to two parts model predict 62.57 Percent’s of participant’s decisions and the 3parts model has 68.46 Percent’s of that. In conclusion it can be said that three parts modeling has been more success than mathematical two parts model in predicting the performance of participants and the difference is significant. In other words cortex role in this kind of decision making is quite important.
Full-Text [PDF 480 kb]   (5138 Downloads)    
Type of Study: Research | Subject: Special
Received: 2018/12/12 | Accepted: 2019/02/5 | Published: 2019/04/28

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | فصلنامه روانشناسی شناختی

Designed & Developed by : Yektaweb