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适应系统。主要成就：1.提出并验证了一种基于Agent建模和行为实验相结合的知识管理方法; 2.阐明了微观Agent努力和宏观结果对组织结果的非线性因果关系; 3.通过揭示非单调性现象和稀缺性启发式决策行为，对考虑环境不确定性和人类有限理性的知识管理策略进行了评价。额外贡献：1。设计、诱导和评估公平有效的激励机制。2.通过激励配置保持系统多样性; 3.确定了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.