  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.
