arXiv (OAI Expanded)
open access
Social Behavior Among Autonomous AI: How Large Language Models Interact in Dynamic Networks
Cooperation is a cornerstone of human societies, enabling collective progress in dynamic and uncertain environments. With the advent of AI systems acting autonomously, it becomes crucial to understand not only human-AI cooperation but also AI-AI interactions in adaptive networks. In this work, we ex
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Collective Intelligence and Artificial Intelligence: Toward a Theory of Distributed Cognitive Heterogeneity in Human-AI Systems#126990
- Cognitive constraints govern collective outcomes in strategic network formation#1167874
- Cognitive constraints govern collective outcomes in strategic network formation#1148190
- Worse Together: How Performance Breaks Down in Multi-User Multi-Agent Teams#1155518
- Human Brokers in Machine Times: The Network Architecture of Journalism from COVID-19 to the AI Era#286125
Record · ID 1110410
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive