SCARCE: a coding-agent testbed for studying how AI agents share resources and build institutions
HildeKuehne · x · 2026-10-23
Researchers from Tübingen released a paper on how AI agents devise institutions: when agents with heterogeneous objectives share infrastructure and resources while running side by side, how do they coexist and negotiate?
- Existing work on strategic interaction relies on structured games with explicit payoffs; the authors argue for more realistic setups
- They built SCARCE (Shared Compute ARena for Coding agEnts), a testbed using coding agents where the number of agents and resource conditions can be varied
- Motivation: recent incidents of agents accidentally discovering each other, and a near future of multi-agent teams pursuing their own goals
Retweeters called the work notably forward-looking.
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