This note presents an Agent-Based Model (ABM) with Monte Carlo sampling, designed to simulate the behaviour of a population of objects over time. The model incorporates damage functions with the risk parameters of the ABC framework to simulate adverse events. As a result, it combines continuous and probabilistic degradation. This hybrid approach allows us to study the emergent behavior of the system and explore the range of possible lifetimes of a collection. The main outcome of the model is the decay in condition of a collection as a consequence of all the combined degradation processes. The model is based on six hypotheses that are described for further testing. This paper presents a first attempt at an universal implementation of Collections Demography principles, with the hope that it will generate discussion and the identification of research gaps.

翻译：本报告提出了一种基于代理的模型（ABM），结合蒙特卡洛抽样方法，旨在模拟对象群体随时间变化的行为。该模型整合了具有ABC框架风险参数的损伤函数，用以模拟不利事件。因此，它融合了连续性与概率性退化过程。这种混合方法使我们能够研究系统的涌现行为，并探索馆藏可能寿命的分布范围。模型的主要输出结果是馆藏状态因所有退化过程共同作用而产生的衰变。该模型基于六项假设，这些假设的描述可供进一步检验。本文首次尝试对馆藏人口统计学原理进行通用性实现，以期引发讨论并识别研究空白。