Programmable DNA-mediated decision maker
Jian-Jun Shu, Qi-Wen Wang, Kian-Yan Yong

TL;DR
This paper introduces a programmable DNA-based decision-making system that leverages DNA computing's massive parallelism to enhance rational choice modeling under uncertainty.
Contribution
It presents a novel DNA-mediated normative decision-making framework, integrating DNA computing with decision theory to improve rational decision processes.
Findings
Demonstrates how DNA computing can model decision-making under uncertainty.
Shows the potential of DNA interactions for programmable decision systems.
Enriches decision theory with DNA-mediated computational methods.
Abstract
DNA-mediated computing is a novel technology that seeks to capitalize on the enormous informational capacity of DNA and has tremendous computational ability to compete with the current silicon-mediated computing, due to massive parallelism and unique characteristics inherent in DNA interaction. In this paper, the methodology of DNA-mediated computing is utilized to enrich decision theory, by demonstrating how a novel programmable DNA-mediated normative decision-making apparatus is able to capture rational choice under uncertainty.
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