FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making
Denys J.C. Matthies, Ruben Schlonsak, Hanzhi Zhuang, Rui Song

TL;DR
This paper introduces a novel bionic AI that incorporates live fly responses to increase decision-making unpredictability, outperforming traditional and human strategies in the game of Gobang.
Contribution
It presents a new methodology for integrating biological responses into AI to enhance unpredictability and demonstrates its effectiveness in a strategic game setting.
Findings
Bionic AI outperforms human and conventional AI agents in Gobang.
The approach increases unpredictability in AI decision-making.
The methodology can be applied to other AI systems for improved variability.
Abstract
In this paper, we introduce a new type of bionic AI that enhances decision-making unpredictability by incorporating responses from a living fly. Traditional AI systems, while reliable and predictable, lack nuanced and sometimes unseasoned decision-making seen in humans. Our approach uses a fly's varied reactions, to tune an AI agent in the game of Gobang. Through a study, we compare the performances of different strategies on altering AI agents and found a bionic AI agent to outperform human as well as conventional and white-noise enhanced AI agents. We contribute a new methodology for creating a bionic random function and strategies to enhance conventional AI agents ultimately improving unpredictability.
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Taxonomy
TopicsStatistical and Computational Modeling · Complex Systems and Decision Making
