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原文連結
論文資訊
- 類型：已發表論文
- 日期：2025-04-28
摘要
This article describes seven potential benefits of incorporating 智能體-based modeling (ABM) as a core research methodology for psychological research on 社會 phenomena: building formal theories of complex 社會 systems, validating multilevel causation, understanding temporal and 非線性 dynamics, demonstrating the completeness of theories, balancing consideration of people with their environments, bridging psychology and policy, and identifying unknown unknowns and the limits of prediction. Those benefits accrue from a resonance between how they approach questions and the questions they ask. For example, both rely on experiments to explore how individual interactions generate collective phenomena. The article compares micromechanism-driven and macropattern-driven ABM paradigms and introduces a new re
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