Story Protocol partners with Oxford University to advance AI agent communication

Story Protocol has announced a partnership with the University of Oxford on a research initiative to advance the communication and negotiation capacities of AI agents.

THE collaboration will focus on improving clarity in IA Interactions and optimization of agent agent negotiations, with developments feeding the framework of the TCP / IP agent of Story.

The TCP / IP agent is designed to facilitate intellectual property transactions focused on AI, allowing autonomous agents to exchange, dismiss and manage digital assets.

By integrating the search for Oxford, History aims to refine how AI agents communicate, guaranteeing smoother and more transparent exchanges.

“We are able to accelerate towards a future where AI agents can collaborate and exchange IP independently,” said Story.

The company is positioned as the Main hub for AI agentsAnd its partnership with Oxford reflects a commitment to pioneering progress in AI autonomy.

Story Protocol is a layer 1 blockchain specially designed to record and manage intellectual property on the channel. It allows creators to record various forms of IP – such as images, songs, active active worlds and AI training data – and to specify terms of use, facilitating the management of decentralized and programmable intellectual property.

University of Oxford and AI

University of Oxford recently associated With OPENAI as part of an $ 50 million initiative involving 15 major universities to integrate AI tools in research and education.

The university provided 3,000 academics and access to Chatgpt Edu staff after a successful pilot. Oxford researchers had access to the latest OPENAI models and to finance research grants through the NextGenai initiative.

The collaboration included a project to digitize documents in the public domain of Bodleian libraries, making historic dissertations accessible online.

The initiative of history is aligned with the broader efforts of the industry to improve the capacity of AI to interact effectively in decentralized digital ecosystems.