发表机构
Mila–Quebec AI Institute（米拉-魁北克人工智能研究所）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
本研究提出一种通过反协调博弈中角色分化而非共识来产生集体秩序的信息引擎，以环路增益超过1为点燃条件，并揭示分岔级联类型可被早期检测及平台设计调控，为智能体信息热力学开辟新路径。
AI 中文摘要
信息活性物质研究已表明，基于测量的决策能产生集体秩序，但迄今仅限于达成共识的系统。我们识别出一种通过分化而非共识来产生秩序的集体信息引擎，并利用反协调博弈——即分化角色信息具有价值的最简单博弈类别——构建了一个最小实例。智能体从含噪社会信号中推断自身角色，而遵循角色的行为又会反馈到该信号中，从而塑造遵循角色的激励。规定角色的图式本身也是动态的：通过协调角色扮演积累的资源与种群变异性相结合，塑造并强化了产生这些资源的图式。该模型由此将休厄尔的图式与资源二元性——这一社会学结构—能动性辩论中具有影响力但迄今仅为定性的解决方案——操作化。当环路增益Λ（身份持续性、认知能力与社会反馈信道保真度的乘积）超过1时，引擎被点燃。对于一组图式库，角色以分岔级联的方式涌现，其函数形式由图式库的特征值谱决定，范围从可监测的对数序列到具有欺骗性的尖峰后雪崩式爆发。资源积累将图式竞争转化为复制子动力学，内生地选择级联类型。亚临界行为协方差在爆发前揭示该类型，从而实现早期检测，而反馈信道参数则偏向于选择哪种类型。对于在平台上交互的智能体，自适应平台设计由此成为调节涌现协调的控制杠杆，例如用于缓解分布式人工智能带来的风险。通过将博弈论、集体动力学与信息引擎相结合，我们开辟了一条通往智能体信息热力学的路径。
英文摘要
Informational active matter shows how measurement-informed decisions produce collective order, so far in systems that reach consensus. We design collective information engines structured by differentiation instead, and construct a minimal instance using anti-coordination games where differentiated role information has value. Within many coexisting games, agents infer their role from a noisy social signal grounded in a persistent identity, and role-following action feeds back into that signal, which shapes the incentive to follow roles. Resources accrued through coordinated role-play combine with identity variability to reinforce the schemas that generated them. The model thereby operationalizes Sewell's duality of schemas and resources in Structuration, a resolution to structure--agency debates across social science. The engine ignites when a social loop gain---the product of identity persistence, cognitive capacity, channel fidelity, and schema strength---exceeds one. For a repertoire of such schemas, roles emerge with increasing gain in a bifurcation cascade whose functional form is fixed by the repertoire's eigenvalue spectrum, ranging from monitorable logarithmic sequences to avalanches that arrive without warning. Resource accumulation supplies the fitness of a replicator dynamics on schema strengths, which selects the cascade type endogenously. Subcritical identity covariance reveals that type before onset, enabling early detection, while feedback channel parameters bias which type is selected. Platform design then becomes a control lever to throttle emergent coordination. This theory grounds distributional AGI takeoff in a mechanism and provides a monitor-based solution. Joining game theory, collective dynamics, and information engines, we open a route to an information thermodynamics of agent populations.
