Population synthesis as scenario generation for simulation-based planning under uncertainty
Agent-based models have the potential to become instrumental tools in real-world decision-making, equipping policy-makers with the ability to experiment with high-fidelity representations of complex systems. Such models often rely crucially on the generation of synthetic populations with which the m...
| Asıl Yazarlar: | , , , , , |
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| Materyal Türü: | Conference item |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Association for Computing Machinery
2024
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