The role of languages for modeling and simulating continuous-time multi-level models in demography

TY - CHAP

T1 - The role of languages for modeling and simulating continuous-time multi-level models in demography

AU - Steiniger, A.

AU - Uhrmacher, A.M.

AU - Zinn, S.

AU - Gampe, J.

AU - Willekens, Frans

N1 - Paper presented at the 2014 Winter Simulation Conference, Savannah, GA, USA, 7-10 December 2014.

PY - 2014

Y1 - 2014

N2 - Demographic microsimulation often focuses on effects of stable macro constraints on isolated individual life course decisions rather than on effects of inter-individual interaction or macro-micro links. To change this, modeling and simulation have to face various challenges. A modeling language is required allowing a compact, succinct, and declarative description of demographic multi-level models. To clarify how such a modeling language could look like and to reveal essential features, an existing demographic multi-level model, i.e., the linked life model, will be realized in three different modeling approaches, i.e., ML-DEVS, ML-Rules, and attributed pi. The pros and cons of these approaches will be discussed and further requirements for the envisioned language identified. Not only for modeling but also for experimenting languages can play an important role in facilitating the specification, generation, and reproduction of experiments, which will be illuminated by defining experiments in the experiment specification language SESSL.

AB - Demographic microsimulation often focuses on effects of stable macro constraints on isolated individual life course decisions rather than on effects of inter-individual interaction or macro-micro links. To change this, modeling and simulation have to face various challenges. A modeling language is required allowing a compact, succinct, and declarative description of demographic multi-level models. To clarify how such a modeling language could look like and to reveal essential features, an existing demographic multi-level model, i.e., the linked life model, will be realized in three different modeling approaches, i.e., ML-DEVS, ML-Rules, and attributed pi. The pros and cons of these approaches will be discussed and further requirements for the envisioned language identified. Not only for modeling but also for experimenting languages can play an important role in facilitating the specification, generation, and reproduction of experiments, which will be illuminated by defining experiments in the experiment specification language SESSL.

U2 - 10.1109/WSC.2014.7020137

DO - 10.1109/WSC.2014.7020137

M3 - Contribution to conference proceedings

SN - 978-1-4799-7484-9

SP - 2978

EP - 2989

BT - Proceedings of the 2014 Winter Simulation Conference

A2 - Tolk, A.

A2 - Diallo, S.

A2 - Ryzhov, I.O.

A2 - Buckley, S.J.

A2 - Yilmaz, L.

A2 - Miller, J.A.

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ, USA

ER -