This paper presents a discrete-event stochastic model for the redistribution of indistinguishable personal items, exemplified by socks, among multiple cohabitants sharing a communal laundry system. Drawing on concepts from ecological population dynamics, diffusion processes, and stochastic exchange theory, the model captures the probabilistic mechanisms underlying item mixing, recovery, and loss. Each cohabitant is represented as an autonomous agent whose belongings interact through iterative cycles of collective washing, sorting, and partial correction. The system's evolution is characterized by random mixing events, selective recollection, and attrition over time. Implemented using the SimPy discrete-event simulation framework, the model demonstrates that even minimal exchange probabilities can generate emergent asymmetries, quasi-equilibrium distributions, and long-term disorder. The findings illustrate how stochastic processes inherent to shared domestic systems can produce persistent imbalances, offering a quantitative perspective on an everyday social phenomenon.
翻译:本文提出了一种离散事件随机模型,用于描述多个同居者在共享公共洗衣系统中不可区分个人物品(以袜子为例)的再分配过程。该模型借鉴了生态种群动力学、扩散过程及随机交换理论的概念,捕捉了物品混合、回收与丢失的概率机制。每个同居者被建模为一个自主智能体,其所属物品通过集体洗涤、分拣及部分修正的迭代循环进行交互。系统演化特征表现为随机混合事件、选择性记忆以及随时间推移的损耗。基于SimPy离散事件仿真框架的实现表明,即使极低的交换概率也能产生涌现的非对称性、准平衡分布及长期无序状态。研究结果揭示了共享家庭系统中固有的随机过程如何导致持续的不平衡现象,为这一日常社会现象提供了量化视角。