运筹与管理2017，Vol.26Issue(9)：157-165,9.DOI:10.12005/orms.2017.0221
知识共享与间接互惠:基于计算实验方法的研究
Knowledge Sharing and Indirect Reciprocity:Research Based on Computational Experiments
摘要
Abstract
The return of knowledge sharing behaviors often comes from third-party rather than recipients,research of knowledge sharing in direct reciprocity perspective are not insufficient to explain this kind of phenomenon.Adopting the computational experiments based on multi-agent modeling,this study builds a model of indirect reciprocity and knowledge sharing of large teams by giving agents ability to memory information,make decision and communicate.The results show that,due to the existence of discriminators,even unconditional sharers become absolute the majority,hiders are unable to invade the group.This phenomena mean that indirect reciprocity plays a great role in binding widespread knowledge sharing behaviors.The hiders and discriminators will coexist at low level of trust climate in organization,but knowledge sharing behaviors of agents do not appear.Even if only a few individuals can observe knowledge sharing behaviors of colleagues around them,as long as reputation can spread effectively,indirect reciprocity can promote the knowledge sharing behaviors.关键词
知识共享/间接互惠/信任氛围/声誉传播/多Agent建模与仿真Key words
knowledge sharing/indirect reciprocity/trust climate/spreading of reputation/multi-agent modeling and simulation分类
管理科学引用本文复制引用
林润辉,米捷..知识共享与间接互惠:基于计算实验方法的研究[J].运筹与管理,2017,26(9):157-165,9.基金项目
国家自然科学基金项目(71533002 （）
71132001) （）
