合成语言能动性：具身有限代理通过后果性社会经验学习语言可供性
原标题：Synthetic Linguistic Agency: How an Embodied Mortal Agent Learns Linguistic Affordances through Consequential Social Experience
AI 摘要
该研究提出合成语言能动性（SLA）的操作性定义，并开发了基于死亡约束的语言强化学习模型，实例化为具身有限代理（EMA）。实验表明，EMA的语言选择受其身体状态和社会历史影响，并能改变伙伴行为，从而在人工系统中实现语言能动性。该工作为合成共情和人机战略互动研究提供了基础。
正文节选
Synthetic Linguistic Agency: How an Embodied Mortal Agent Learns Linguistic Affordances through Consequential Social Experience Abstract Contemporary language models can converse fluently and influence human decisions, yet their exchanges do not enter a continuing, vulnerable life of their own. Linguistic-agency theory identifies this missing connection as linguistic agency and characterizes it through embodiment, linguistic participation, and precariousness: a body that acts and bears consequen