人类与AI相互适应，催生新互动模式。
Synthetic Counteradaptation: A Principle of Human-AI Co-evolution
- AI创新策略引发人类行为调整，形成双向进化
- 在围棋、社交博弈和地缘政治模拟中验证机制
- 适合研究人机协作与智能系统演化者阅读
本文提出合成反适应（synthetic counteradaptation）概念，即人类与AI系统通过相互适应对方策略与行为而共同演进。当AI发展出新策略或社会协议时，人类会从中提取洞察并调整自身行为，从而产生新的智能体交互动态。我们通过围棋、混合动机社交互动及地缘政治模拟等案例分析该机制，揭示了多智能体环境中人机交互的递归性与共演化特征，为理解复杂人机协同提供新框架。
原文摘要 · Abstract (English)
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.
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