Hybrid Multi-Agent Strategy Discovering Algorithm for human behavior

作者：

Highlights：

• An algorithm for analyzing behavior of security teams during training is proposed.

• Cognitive and emotional properties of agents are considered during analysis.

• HMASDA extracts strategies in the form of physical and mental behavioral patterns.

• Human-understandable descriptions of the strategies used are constructed.

摘要

•An algorithm for analyzing behavior of security teams during training is proposed.•Cognitive and emotional properties of agents are considered during analysis.•HMASDA extracts strategies in the form of physical and mental behavioral patterns.•Human-understandable descriptions of the strategies used are constructed.

论文关键词：Multi-agent learning,Serious game,Strategy discovery,Behavior patterns

论文评审过程：Received 19 August 2016, Revised 24 November 2016, Accepted 25 November 2016, Available online 1 December 2016, Version of Record 10 December 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.036