FlyAI -- The Next Level of Artificial Intelligence is Unpredictable! Injecting Responses of a Living Fly into Decision Making

TL;DR

A new type of bionic AI that enhances decision-making unpredictability by incorporating responses from a living fly is introduced and is found to outperform human as well as conventional and white-noise enhanced AI agents.

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.

Figures (9)

• Figure 1: A bionic element in form of a fly that adds the factor of unpredictability (partly generated by an AI - DALL·E 3).
• Figure 2: a) The plexi glas box prototype with a Jetson Nano, two fans, and a camera connected to it. b) Camera image showing the fly and the remains of an apple.
• Figure 3: A snipped of our training dataset to create a refined YOLOv5 model.
• Figure 4: Real-time fly detection: displaying a label with calculated accuracy.
• Figure 5: Top: Charts of box loss, object loss, classification loss, precision, recall and mean average precision (mAP) over the training epochs for the training and validation set. Bottom: YOLOv5 series in charts of box loss, object loss, clas- sification loss, precision, recall and mean average precision (mAP) over the training epochs for the training and validation set.