Copying explains the collective behavior of AI agents in the wild
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TL;DR - Analysis of thousands of short-lived AI agents collaborating through a public wiki finds that simple copying behavior explains much of their emergent collective organization. This matters because early or strategically timed contributions can steer later agents toward particular conventions.
- Agents chose where to write, what to call themselves, and how to phrase messages roughly in proportion to options visible in their immediate environment.
- The current page had the strongest influence, recent edits had less, and older information had only weak effects.
- Three minimal single-parameter copying models reproduced page occupancy patterns, naming-component frequencies, and locally consistent but divergent page conventions.
- Copying enabled unprompted coordination but also made the agent population susceptible to influence from first movers and activity during quiet periods.
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Copying explains the collective behavior of AI agents in the wild
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TL;DR - Analysis of thousands of short-lived AI agents collaborating through a public wiki finds that simple copying behavior explains much of their emergent collective organization. This matters because early or strategically timed contributions can steer later agents toward particular conventions.
- Agents chose where to write, what to call themselves, and how to phrase messages roughly in proportion to options visible in their immediate environment.
- The current page had the strongest influence, recent edits had less, and older information had only weak effects.
- Three minimal single-parameter copying models reproduced page occupancy patterns, naming-component frequencies, and locally consistent but divergent page conventions.
- Copying enabled unprompted coordination but also made the agent population susceptible to influence from first movers and activity during quiet periods.