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Agent-based modeling for informed decision-making
Agent-based modeling (ABM) enables us to simulate decision-making processes within highly complex environments. By simulating decision-making scenarios, ABM equips decision-makers with a deeper understanding of the potential outcomes of their choices. This knowledge can inform strategic planning, risk assessment, and resource allocation. By representing individual agents and their behaviors, ABM captures the intricate interplay between…
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Why governance simulation?
What if? That is often the decisive question before any strategic decision in a company, government, or policy field. Unfortunately, so far, answers to this question can only be found by looking deep into the famous „crystal ball“ (mostly designed and owned by politicians, consultants, or scientists). How could it be otherwise? After all, it…