Fusion Intelligence: Confluence of Natural and Artificial Intelligence for Enhanced Problem-Solving Efficiency

TL;DR

This paper proposes Fusion Intelligence (FI), a bio-inspired system combining biological sensing and actuation with AI, aiming to improve complex problem-solving by mimicking nature's adaptability and responsiveness, demonstrated through agricultural IoT case studies.

Contribution

The paper introduces Fusion Intelligence as a novel interdisciplinary approach integrating biological and artificial intelligence for enhanced problem-solving.

Findings

FI can improve insect pollination efficacy in agricultural IoT systems.

Fusion Intelligence demonstrates increased adaptability and responsiveness in simulated environments.

The approach offers potential for more sustainable and effective solutions in complex problem domains.

Abstract

This paper introduces Fusion Intelligence (FI), a bio-inspired intelligent system, where the innate sensing, intelligence and unique actuation abilities of biological organisms such as bees and ants are integrated with the computational power of Artificial Intelligence (AI). This interdisciplinary field seeks to create systems that are not only smart but also adaptive and responsive in ways that mimic the nature. As FI evolves, it holds the promise of revolutionizing the way we approach complex problems, leveraging the best of both biological and digital worlds to create solutions that are more effective, sustainable, and harmonious with the environment. We demonstrate FI's potential to enhance agricultural IoT system performance through a simulated case study on improving insect pollination efficacy (entomophily).