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- W2913901882 abstract "Recent statistics predict an increasing demand for care services in elderly care as a result of demographic change. To forecast the amount, location, and type of emerging care demand, existing approaches like Microsimulation must be revised. These approaches lack consideration of the fact that every decision for a specific type of care is dependent on the individual care recipient’s situation and personal preferences. To close this gap, it seems reasonable to extend existing Microsimulation approaches by means of Agent-based Social Simulation. The goal of this work is the development of an agent-based model, that enables the simulation of individual decision-making processes. The presented model is based on sociodemographic data to take systemic properties and individual situations into account. Additionally, sociological actor types are used to implement individual preferences and the characteristics of care recipients. To evaluate the proposed approach, a case study using German census data is presented." @default.
- W2913901882 created "2019-02-21" @default.
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- W2913901882 date "2018-12-09" @default.
- W2913901882 modified "2023-09-27" @default.
- W2913901882 title "Agent-based modeling and simulation of individual elderly care decision-making" @default.
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- W2913901882 doi "https://doi.org/10.5555/3320516.3320646" @default.
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