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Titlebook: Advances in Social Simulation; Proceedings of the 1 Corinna Elsenbroich,Harko Verhagen Conference proceedings 2024 The Editor(s) (if applic

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11#
發(fā)表于 2025-3-23 10:28:10 | 只看該作者
12#
發(fā)表于 2025-3-23 16:07:54 | 只看該作者
Whole-System Pandemic Modelling Including Pathogen Evolutions as the agent population alters its behaviour in response to the perceived threat posed by the virus as well as to government interventions. Both intra-host and inter-host evolution are simulated. The model shows that evolution can dramatically alter the effect of individual behaviour and policies
13#
發(fā)表于 2025-3-23 20:47:46 | 只看該作者
14#
發(fā)表于 2025-3-23 22:31:09 | 只看該作者
Gamification and Simulation for Innovationat is responsive to societal needs and change. The ‘AI for Assessment’ (AI FORA) project combines empirical research on AI-based social service delivery with gamification at community-based multi-stakeholder workshops and a series of case-specific agent-based models for assessing the status quo of A
15#
發(fā)表于 2025-3-24 03:26:39 | 只看該作者
16#
發(fā)表于 2025-3-24 07:38:57 | 只看該作者
A ‘Theory of?the?Middle Range’ to?Support Food Security and?Circular Economy Value Chain Scenario Anpability, together with a formal implementation in the form of an agent-based model. We describe the model here, giving critical attention to its proposition as a ‘theory’ (of any kind) and potential generality, with a view to furthering the debate about the relationships between empirical agent-bas
17#
發(fā)表于 2025-3-24 12:28:52 | 只看該作者
Aspiration Adaptation, Poverty, and Agricultural Management: An Agent-Based Modelling Studyn. Preliminary findings indicated that initial wealth influenced aspiration dynamics. There was, however, great heterogeneity in these aspiration dynamics, also among households with similar levels of initial wealth, suggesting additional factors at play. Further research should investigate other ty
18#
發(fā)表于 2025-3-24 17:39:48 | 只看該作者
19#
發(fā)表于 2025-3-24 19:32:21 | 只看該作者
Policy Comparisons and?Causality in?an?Agent-Based Models, facilitating the construction of an effective panel regression model to recover the ABM’s ex ante causal mechanisms. Through this exercise, we not only demonstrate the ABM’s robustness but also provide targeted recommendations for the best policy instruments across different cities.
20#
發(fā)表于 2025-3-25 02:36:12 | 只看該作者
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