エージェントベースモデリングを用いた社会組織のナレッジマネジメント

组织知识管理是一个复杂的适应性系统。主要成果：1.提出并验证了一种基于主体建模和行为实验相结合的知识管理方法；2.阐明了微观主体努力和宏观结果对组织结果的非线性因果关系；3.通过揭示非单调现象和稀缺性启发式决策行为，对知识管理政策考虑环境不确定性和人类有限理性进行了评价。其他贡献：1.设计、诱导和评估公平有效的激励体系。2.通过激励配置保持系统多样性；3.确定长期优化的行政干预措施。

Organizational knowledge management (KM) is studied as a complex adaptive system. Primary achievements: 1.An integrated KM methodology combining agent-based modeling and behavioral experiments is introduced, developed, and verified; 2.The non-linear causality of microscopic agents effort and macroscopic outcomes on organizational outcomes is elucidated; 3.KM policies take consideration of environmental uncertainty and human bounded rationality are evaluated by revealing a non-monotonicity phenomenon and scarcity heuristic decision behavior. Additional contributions: 1. A fair and effective incentive system is designed, induced, and evaluated. 2. System diversity is preserved through incentive configuration; 3. Administrative interventions for long-term optimization are identified.