外观
论文arXiv 2610.1751015 天前
重新思考生物信号世界模型
原文链接：Rethinking World Models for Biosignals（arXiv 2610.17510 · 发布日期：2026-10-13）
Rethinking World Models for Biosignals
针对生物信号世界模型干预应用，论文以真实动作和因果效应证据为准则，分析既有模型并提出验证清单。
核心要点
- 动机：生物信号世界模型需超越生理记录预测，支持干预相关的仿真、规划与决策。
- 方法：以真实动作和因果效应证据两项要求，审视现有生物信号世界模型。
- 发现：归纳时间潜伏期、系统开放性和内生动态三类源于生理学的瓶颈。
- 产出：依据已发表证据提出研究方向和Intervention-Effect Validation Checklist。
验证范围与局限：验证范围限于对既有模型和已发表证据的分析，摘要未报告新的实验验证。
英文摘要 (Abstract)
World models promise to learn how systems evolve and respond to actions, enabling simulation, planning and decision-making. Bringing this promise to biosignals requires more than accurate prediction of physiological recordings. We examine existing biosignal world models through two requirements for intervention use: a genuine action and evidence of its causal effect. We identify three fundamental bottlenecks rooted in physiology: Temporal Latency, the variable delay between an action and its observable effect; System Openness, the influence of drivers beyond the modelled intervention; and Endogenous Dynamics, the system's ongoing evolution without that intervention. Drawing on published evidence, we outline corresponding research directions and propose an Intervention-Effect Validation Checklist to guide evaluation. The aim is to help the biosignal community realise the core promise of world models by learning the latent mechanisms that govern physiological evolution and responses to interventions.
作者：Xianglong Bao, Bosong Huang, Xiaoda Wang, Keqi Han, Carl Yang, Ming Jin, Shirui Pan
来源
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