Adaptive Agent Modeling in a Policy Context
2004
Abstract
AI
AI
This dissertation explores the use of adaptive agent models in public policy analysis, focusing on their applicability and the unique insights they provide compared to traditional numerical models. By examining the complexities of real-world systems, the work aims to demonstrate how these models can yield qualitatively different understandings of policy manipulation and its impacts on social outcomes.
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