MINiDM: multi-issue negotiation in decentralised data marketplaces

Abstract

This paper presents MINiDM, a novel negotiation framework designed for decentralised data marketplaces. MINiDM enables AI-driven agents to negotiate complex, multi-issue data-sharing agreements while ensuring compliance with legal and ethical standards such as GDPR. The framework combines game-theoretic strategies, formal policy languages and vocabularies (ODRL and DPV), and a lightweight multi-agent commitment protocol to automate fair transactions without relying on central authorities or blockchain- based contracts. Experimental results demonstrate that MINiDM outperforms existing protocols in terms of agreement rate, fairness, and negotiation efficiency, offering a promising direction for secure and autonomous data trading in Web3 ecosystems.