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Updated: Jan 26, 2026
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The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
Published on: October 20, 2022
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Demographic Forecasts Using the Game Theory.
Marek Ogryzek1, Krzysztof Rząsa2, Edita Šarkienė3
1Faculty of Geodesy, Geospatial and Civil Engineering, Institute of Geography and Land Management, University of Warmia and Mazury, 15 Prawochenskiego Street, 10-720 Olsztyn, Poland. marek.ogryzek@uwm.edu.pl.
Summary
This study introduces a novel game theory approach for more accurate demographic forecasting in Vilnius and Olsztyn. The method improves upon existing governmental techniques, offering more probable population predictions for spatial planning.
Area of Science:
- Demography
- Spatial Planning
- Game Theory
Background:
- Demographic forecasting is crucial for spatial planning and sustainable development.
- Existing governmental methods for demographic projection have limitations and require frequent adjustments.
- External factors like political instability and labor market changes increase forecasting uncertainty.
Purpose of the Study:
- To present a new method for demographic projections using game theory elements.
- To compare the accuracy of the proposed method with current governmental forecasting techniques.
- To provide more reliable demographic predictions for urban and regional planning.
Main Methods:
- Analysis and synthesis of data sources from 1997-2014.
- Application of game theory principles to demographic forecasting.
- Comparative analysis of forecasting results against governmental methods.
Main Results:
- The proposed game theory-based method yields more probable demographic predictions.
- The new method demonstrates potential for improved accuracy in forecasting population dynamics.
- Results suggest a more robust approach to demographic projections for planning.
Conclusions:
- The game theory approach offers a more reliable alternative for demographic forecasting.
- Accurate demographic data is essential for effective spatial and sustainable development strategies.
- Further research into advanced forecasting methods is needed to address complex societal dynamics.
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