Synthetic Counteradaptation: A Principle of Human-AI Co-evolution
Summary
Introduces the concept of synthetic counteradaptation, where humans and AI systems co-evolve by adapting to each other's strategies, illustrated through examples from Go, social interactions, and geopolitical simulations.
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# Synthetic Counteradaptation: A Principle of Human-AI Co-evolution Source: [https://arxiv.org/abs/2606.15503](https://arxiv.org/abs/2606.15503) [View PDF](https://arxiv.org/pdf/2606.15503) > Abstract:In this paper, we introduce the concept of synthetic counteradaptation, a process where human and AI systems co\-evolve by adapting to each other's strategies and behaviors\. Synthetic counteradaptation occurs when AI systems develop novel strategies or social protocols, prompting humans to extract insights and adapt their own behaviors in response, leading to the emergence of new agent interaction dynamics\. To illustrate these dynamics, we analyze examples from various contexts, including the game of Go, mixed\-motive social interactions, and geopolitical simulations\. By exploring these cases, we demonstrate how synthetic counteradaptation provides a framework for understanding the recursive and co\-evolutionary nature of human\-AI interactions in multi\-agent environments\. ## Submission history From: Ivar Frisch \[[view email](https://arxiv.org/show-email/63be8685/2606.15503)\] **\[v1\]**Tue, 31 Mar 2026 12:10:15 UTC \(72 KB\)
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