Software-Defined Crime Scene Analysis Process and Its Knowledge Automation Scheme
LIU Shuo1,2, WANG Shuai1,3, FU Huanzhang2, WANG Feiyue3
1.University of Chinese Academy of Sciences, Beijing 100190. 2.Institute of Forensic Science, Ministry of Public Security, Beijing 100038. 3.State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing 100190
Abstract:Crime scene analysis is a backtracking process based on the consequence from traces to psychology (physiology). It is the starting point and foundation of criminal investigation and the key part for solving criminal cases. Learning from the successful application and good performance of the relative theories and methods about complex systems in various domains, the crime scene analysis model based on complex systems is constructed in this paper. From the view of software-defined systems and processes, the basic idea, framework and main methods of the construction of parallel crime scene system model are introduced based on artificial societies, computational experiments, and parallel execution (ACP) method, and the important role played by knowledge automation in parallel systems for the control and management of crime scene analysis is discussed.
刘烁,王 帅,傅焕章,王飞跃. 软件定义的犯罪现场分析过程及其知识自动化方案*[J]. 模式识别与人工智能, 2016, 29(10): 876-883.
LIU Shuo, WANG Shuai, FU Huanzhang, WANG Feiyue. Software-Defined Crime Scene Analysis Process and Its Knowledge Automation Scheme. , 2016, 29(10): 876-883.
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