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Workforce allocation in self-sufficient economy in Late Iron Age
Olševičová, K. ; Danielisová, Alžběta
We present an abstract model of workforce allocation of the Late Iron Age self-sufficient settlement. The model enables experimenting with parameters (the ratio of strong and weak workforce, the impact of bad weather, the ratio of targeted overproduction) during the harvest season with the aim to explore the agricultural bottlenecks (short periods per year when increased labour input is needed). Results of three experiments are presented. The model is extendable and is designed to be applied in archaeological research of socio-economic collapses.
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Applying System Dynamics and Agent-based Modelling in Archaeological Simulation
Olševičová, K. ; Danielisová, Alžběta
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.
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Fuzzy Methods in Land Use Modeling for Archaeology
Machálek, T. ; Cimler, R. ; Olševičová, K. ; Danielisová, Alžběta
The general objective of our research is to develop the complex agentbased simulation of ancient Celtic society population, food production and economics. To achieve this we proposed the agent-based agricultural model of land suitability for miscellaneous farming systems. The behaviour of agents is controlled by a fuzzy rule-based system. The system encodes farmers' agricultural knowledge as regards the decision where to apply specific farming method. Corresponding linguistic variables describe (1) the distance of individual land patches from the household, (2) the slope of the land, (3) the yield of individual land patches and (4) total harvest as a percentage of inhabitants' annual nutritional requirement. To prevent high-frequency spatial changes in land suitability caused by time-dependent stochastic nature of the crop yields, our model performs result smoothing using spatial signal filtering.
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Model of Carrying Capacity - System Dynamics in NetLogo and Stella
Olševičová, K. ; Cimler, R. ; Tomášková, H. ; Danielisová, Alžběta
We compare implementations of system dynamics of Celtic settlement using two tools - NetLogo and Stella. The objective of the model is to catch the relations among the population growth, the production growth and the land use with respect to agricultural strategies. Our main objective is to better understand the Celtic society and economy and its sudden collapse. More broadly we are interested in the applicability of multi-method simulation (agent-based approach enhanced with system dynamics and process modelling) in archaeological research.
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