A priori trust inference with context-aware stereotypical deep learning

作者：

Highlights：

• We have proposed CAST, a new context-aware stereotypical trust model.

• We have considered a comprehensive set of seven context-aware stereotypes.

• We have applied a deep learning architecture to keep trust stereotyping robust.

• We have confirmed the effectiveness of CAST using a rich set of experiments.

摘要

•We have proposed CAST, a new context-aware stereotypical trust model.•We have considered a comprehensive set of seven context-aware stereotypes.•We have applied a deep learning architecture to keep trust stereotyping robust.•We have confirmed the effectiveness of CAST using a rich set of experiments.

论文关键词：Multi-agent systems,Stereotypical trust model,Deep learning

论文评审过程：Received 26 April 2015, Revised 2 August 2015, Accepted 4 August 2015, Available online 10 August 2015, Version of Record 11 September 2015.

论文官网地址：https://doi.org/10.1016/j.knosys.2015.08.003