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决策的情境敏感计算机制

Context-Sensitive Computational Mechanisms of Decision Making.

作者信息

Chawla Manisha, Miyapuram Krishna P

机构信息

Centre for Cognitive Science, Indian Institute of Technology Gandhinagar, Gandhinagar, India.

出版信息

J Exp Neurosci. 2018 Nov 19;12:1179069518809057. doi: 10.1177/1179069518809057. eCollection 2018.

DOI:10.1177/1179069518809057
PMID:30479488
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6247482/
Abstract

Real-world information is primarily sensory in nature, and understandably people attach value to the sensory information to prepare for appropriate behavioral responses. This review presents research from value-based, perceptual, and social decision-making domains, so far studied using isolated paradigms and their corresponding computational models. For example, in perceptual decision making, the sensory evidence accumulation rather than value computation becomes central to choice behavior. Furthermore, we identify cross-linkages between the perceptual and value-based domains to help us better understand generic processes pertaining to individual decision making. The purpose of this review is 2-fold. First, we identify the need for integrated study of different domains of decision making. Second, given that both our perception and valuation are influenced by the surrounding context, we suggest the integration of different types of information in decision making could be done by studying contextual influences in decision making. Future research needs to attempt toward a system-level understanding of various subprocesses involved in decision making.

摘要

现实世界的信息本质上主要是感官性的,人们重视感官信息以准备做出适当的行为反应,这是可以理解的。本综述展示了来自基于价值、感知和社会决策领域的研究,这些研究迄今为止是使用孤立的范式及其相应的计算模型进行的。例如,在感知决策中,感官证据积累而非价值计算成为选择行为的核心。此外,我们确定了感知领域和基于价值的领域之间的交叉联系,以帮助我们更好地理解与个体决策相关的一般过程。本综述的目的有两个。首先,我们确定了对决策不同领域进行综合研究的必要性。其次,鉴于我们的感知和估值都受到周围环境的影响,我们建议通过研究决策中的情境影响来整合决策中不同类型的信息。未来的研究需要尝试从系统层面理解决策中涉及的各种子过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/652697b9a04a/10.1177_1179069518809057-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/d445ebb08359/10.1177_1179069518809057-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/2f903927c0c6/10.1177_1179069518809057-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/652697b9a04a/10.1177_1179069518809057-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/d445ebb08359/10.1177_1179069518809057-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/2f903927c0c6/10.1177_1179069518809057-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b48/6247482/652697b9a04a/10.1177_1179069518809057-fig3.jpg

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