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Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 09:29

Considering the Difference in Utility Functions of Team Players in Adversarial Team Games

Published:Dec 22, 2025 03:01
1 min read
ArXiv

Analysis

This article likely explores the complexities of designing AI agents for team-based games where players have potentially conflicting goals. It suggests an investigation into how different utility functions (representing player preferences) impact team performance and strategic decision-making in adversarial settings. The focus is on understanding and addressing the challenges of coordinating AI agents with diverse objectives within a team.

Key Takeaways

    Reference

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    PermalinkArXiv
    Research#llm📝 BlogAnalyzed: Dec 29, 2025 06:06

    Building the Internet of Agents with Vijoy Pandey - #737

    Published:Jun 24, 2025 15:15
    1 min read
    Practical AI

    Analysis

    This article from Practical AI discusses the challenges of integrating specialized AI agents from different vendors, such as Salesforce, Workday, and Microsoft. It highlights the shift from deterministic APIs to a more complex, probabilistic environment. Vijoy Pandey from Cisco introduces their vision for an "Internet of Agents" and its open-source implementation, AGNTCY, to manage this complexity. The article explores the four phases of agent collaboration and delves into the communication stack, including syntactic protocols and the semantic challenges of shared understanding. It also mentions SLIM, a novel transport layer for secure, real-time, and efficient agent communication.
    Reference

    “Vijoy introduces Cisco's vision for an "Internet of Agents," a platform to manage this new reality, and its open-source implementation, AGNTCY.”

    PermalinkPractical AI