Modeling and prediction of human negotiation behavior in human-computer negotiation

作者：

Highlights：

• This study proposes a segmented linear regression Strategy (SLR) model, which can predict the opponent's future offer patterns.

• Segmented linear regression method can model complex concession behavior dynamically.

• A theoretical framework is built upon the hope-based and game-based negotiation theories.

• The model is validated empirically through computer-to-computer and human-to-computer negotiation experiments based on a prototype system.

摘要

•This study proposes a segmented linear regression Strategy (SLR) model, which can predict the opponent's future offer patterns.•Segmented linear regression method can model complex concession behavior dynamically.•A theoretical framework is built upon the hope-based and game-based negotiation theories.•The model is validated empirically through computer-to-computer and human-to-computer negotiation experiments based on a prototype system.

论文关键词：Automated negotiation agent,Segmented linear regression,Game theory,Hope theory,Machine behavior

论文评审过程：Received 27 October 2020, Revised 26 September 2021, Accepted 7 October 2021, Available online 11 October 2021, Version of Record 20 October 2021.

论文官网地址：https://doi.org/10.1016/j.elerap.2021.101099