Enhancing Holonic Architecture with Natural Language Processing for System of Systems

TL;DR

The paper addresses interoperability and coordination challenges in complex System of Systems by integrating Conversational Generative Intelligence into holonic architectures. It presents a conceptual NLP-enhanced framework where an ontology-based prompt engineering module, a Large Language Model, and an NLP interface translate human goals into actionable holon commands and enable negotiation among holons to form collaborative coalitions. A smart-city Unmanned Vehicle Fleet use case demonstrates NL-driven planning, intra-fleet coordination, and dynamic routing around constraints like no-fly zones. The work suggests that NLP-enabled CGI can significantly improve the adaptability, usability, and efficiency of SoS, with prototype development and validation outlined as future work.

Abstract

The complexity and dynamic nature of System of Systems (SoS) necessitate efficient communication mechanisms to ensure interoperability and collaborative functioning among constituent systems, termed holons. This paper proposes an innovative approach to enhance holon communication within SoS through the integration of Conversational Generative Intelligence (CGI) techniques. Our approach leverages advancements in CGI, specifically Large Language Models (LLMs), to enable holons to understand and act on natural language instructions. This fosters more intuitive human-holon interactions, improving social intelligence and ultimately leading to better coordination among diverse systems. This position paper outlines a conceptual framework for CGI-enhanced holon interaction, discusses the potential impact on SoS adaptability, usability and efficiency, and sets the stage for future exploration and prototype implementation.

Figures (2)

• Figure 1: The conceptual framework showing NLP integration with the Holonic Architecture
• Figure 2: Caption place holder