Dual Systems Influence on Preference Based Decision Making Open Access

Swedan, Tyler (Spring 2022)

Permanent URL: https://etd.library.emory.edu/concern/etds/mk61rh81n?locale=en
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Abstract

Previous research has revealed we often make decisions by relying more or less on deliberate cognition. Human decision-making about choosing between options of unspecified value demonstrates our preferences. The present study focuses on the influence of either greater deliberate processing or greater automatic processing on emotionally salient preferential decisions. By presenting 11 participants with preferential tasks under manipulations that increase reliance on these processing systems, it is revealed that we may utilize rationalizations of automatic decision-making to inform our elaborated evaluation of stimuli, and that influencing motivation is important for manipulating deliberate cognition. Finally, through modeling these decision tasks with deep reinforcement learning models, we discovered that these preliminary model-free deep Q approaches are more similar to performance under deliberate cognition rather than automatic cognition, contradicting our predictions. This research may further our understanding by demonstrating how these aspects of decision-making influence our actual choices and informs how researchers should utilize these machine learning approaches for future research.

Table of Contents

Introduction………………………………………………….1

Method………………………………………………………9

Results………………………………………………………15

Discussion……………………………………………….….17

Figure 1……………………………………………………..25

Figure 2………………………………………………….….26

Figure 3……………………………………………….…….27

Figure 4……………………………………………….…….28

Figure 5……………………………………………….…….29

References…………………………………………….…….30

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