IANET: A Framework for Interconnected AI Agents
Year: 2025
Type: article
Abstract: IANET: A Framework for Interconnected AI Agents proposes a unified approach to artificial intelligence agent collaboration through a shared knowledge infrastructure. In the current AI ecosystem, agents operate in isolation, leading to redundant efforts, inconsistent data, and inefficient knowledge retrieval. This paper introduces the concept of an "internet of AI agents", where agents contribute to and access a common repository of structured and verified knowledge. We discuss the technical architecture, interoperability challenges, validation mechanisms, and long-term implications of a decentralized AI knowledge-sharing network. The framework aims to establish a scalable and secure environment that enhances AI efficiency, cooperation, and adaptability across multiple domains.
Author: Gaurisse, Leandro
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6893140590
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