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Original title:
Applying System Dynamics and Agent-based Modelling in Archaeological Simulation
Authors: Olševičová, K. ; Danielisová, Alžběta
Document type: Papers
Conference/Event: MME 2014. International Conference Mathematical Methods in Economics /32./, Olomouc (CZ), 2014-09-10 / 2014-09-12
Year: 2014
Language: eng
Abstract: We apply the social simulation to the cultural milieu of the late Iron Age in Central Europe and its economic strategies, especially on the subsistence and the carrying capacity of the settlement agglomeration in relation to the daily economic needs of its inhabitants. By means of the computational models of the economics of the particular central settlement (Staré Hradisko oppidum) and its hinterland we aim to verify hypotheses about the economic sustainability in case self-supplying is applied. To achieve this, the agent-based modelling, cellular automata approach and system dynamics modelling are used. In the paper we present four alternative scenarios of population dynamics (baseline and three versions of depopulation) and four alternative scenarios of food production and agricultural practices (baseline and three types of external events). The set of models for all scenarios was implemented in NetLogo and Stella. Outputs of the models are subject of interests of archaeologists and according to their feedback the models will be refined and extended.
Keywords: agent-based model; cellular automata; land use model; NetLogo; sustainability; system dynamics
Project no.: GAP405/12/0926 (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of 32nd International Conference Mathematical Methods in Economics MME 2014, ISBN 978-80-244-4209-9
Institution: Institute of Archaeology, Prague AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0236643
Permalink: http://www.nusl.cz/ntk/nusl-175329
The record appears in these collections:
Research > Institutes ASCR > Institute of Archaeology, Prague
Conference materials > Papers
Authors: Olševičová, K. ; Danielisová, Alžběta
Document type: Papers
Conference/Event: MME 2014. International Conference Mathematical Methods in Economics /32./, Olomouc (CZ), 2014-09-10 / 2014-09-12
Year: 2014
Language: eng
Abstract: We apply the social simulation to the cultural milieu of the late Iron Age in Central Europe and its economic strategies, especially on the subsistence and the carrying capacity of the settlement agglomeration in relation to the daily economic needs of its inhabitants. By means of the computational models of the economics of the particular central settlement (Staré Hradisko oppidum) and its hinterland we aim to verify hypotheses about the economic sustainability in case self-supplying is applied. To achieve this, the agent-based modelling, cellular automata approach and system dynamics modelling are used. In the paper we present four alternative scenarios of population dynamics (baseline and three versions of depopulation) and four alternative scenarios of food production and agricultural practices (baseline and three types of external events). The set of models for all scenarios was implemented in NetLogo and Stella. Outputs of the models are subject of interests of archaeologists and according to their feedback the models will be refined and extended.
Keywords: agent-based model; cellular automata; land use model; NetLogo; sustainability; system dynamics
Project no.: GAP405/12/0926 (CEP)
Funding provider: GA ČR
Host item entry: Proceedings of 32nd International Conference Mathematical Methods in Economics MME 2014, ISBN 978-80-244-4209-9
Institution: Institute of Archaeology, Prague AS ČR (web)
Document availability information: Fulltext is available at the institute of the Academy of Sciences.
Original record: http://hdl.handle.net/11104/0236643
Permalink: http://www.nusl.cz/ntk/nusl-175329
The record appears in these collections:
Research > Institutes ASCR > Institute of Archaeology, Prague
Conference materials > Papers
Record created 2014-10-02, last modified 2021-11-24