Co-Insights framework for collaborative decision support and tacit knowledge transfer
作者：
Highlights：
• An agent-based model for collaborative and collective insights in decision making.
• Beyond decision support, Co-Insights framework facilitates tacit knowledge transfer.
• Ant colony-based task–participant matching algorithm forms dynamic decision teams.
• Neural network algorithm discovers robust patterns in participant–tool matching.
• Developed algorithms improve decision making performance and decision quality.
摘要
•An agent-based model for collaborative and collective insights in decision making.•Beyond decision support, Co-Insights framework facilitates tacit knowledge transfer.•Ant colony-based task–participant matching algorithm forms dynamic decision teams.•Neural network algorithm discovers robust patterns in participant–tool matching.•Developed algorithms improve decision making performance and decision quality.
论文关键词：Best matching,Collaborative control theory,Collaborative visual analytics,Decision support,Knowledge transfer
论文评审过程：Received 27 January 2015, Revised 16 September 2015, Accepted 19 September 2015, Available online 3 October 2015, Version of Record 17 October 2015.
论文官网地址：https://doi.org/10.1016/j.eswa.2015.09.036
