A knowledge-based reasoning model for crime reconstruction and investigation

作者：

Highlights：

• A more general uncertainty reasoning model is proposed to help solve crimes.

• The knowledge for crime reconstruction is represented by Bayesian networks.

• A growth algorithm of Bayesian networks is proposed to adapt to different cases.

• The model can provide useful investigation suggestions and reconstruct crimes.

摘要

•A more general uncertainty reasoning model is proposed to help solve crimes.•The knowledge for crime reconstruction is represented by Bayesian networks.•A growth algorithm of Bayesian networks is proposed to adapt to different cases.•The model can provide useful investigation suggestions and reconstruct crimes.

论文关键词：Artificial intelligence,Forensic science,Bayesian networks,Criminal investigation,Uncertainty reasoning,Evidence

论文评审过程：Received 11 February 2020, Revised 14 May 2020, Accepted 27 May 2020, Available online 4 June 2020, Version of Record 12 June 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113611