Heterogeneous Multi-Agent Modeling for Measurement and Network Analysis of the Data Service Market
arXiv:2605.27433v1 Announce Type: cross Abstract: With the increasing complexity of collaboration among various social entities and user demands, the factors affecting the stable development of the data service market are also growing. These factors include the widespread dissemination of information enhancing subjective consciousness, the continuous improvement in intelligence, and the complexification of structural relationships. To achieve effective governance and regulation of the data service market, it is crucial to conduct simulation experiments before making regulatory decisions. Howev
The increasing complexity of data markets and the widespread adoption of AI necessitate more sophisticated simulation and regulatory approaches to maintain stability.
This research provides a framework for understanding and governing complex data service markets, which are becoming foundational to AI development and economic activity.
Regulatory bodies and market participants will gain better tools for predicting the impact of decisions and policies within data service ecosystems, potentially leading to more effective governance.
- · Governments (regulators)
- · Data service providers
- · AI developers
- · Economists
- · Unregulated data actors
- · Those unprepared for market transparency
- · Inefficient service providers
Improved stability and predictability in data service markets due to enhanced simulation and regulatory models.
Increased investment and innovation in data services as regulatory uncertainty decreases and market health improves.
The development of 'algorithmic regulators' that use AI and multi-agent models to dynamically manage data markets and potentially other complex economic systems.
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Read at arXiv cs.AI