Parallel Crime Scene Analysis Based on ACP Approach
文献类型:期刊论文
作者 | Shuai Wang![]() ![]() ![]() ![]() ![]() |
刊名 | IEEE Transactions on Computational Social Systems
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出版日期 | 2018 |
卷号 | 5期号:1页码:244-255 |
关键词 | Artificial Societies Computational Experiments And Parallel Execution (Acp) Approach Computational Experiments Crime Scene Analysis Parallel Systems. |
英文摘要 | ; Crime scene analysis is a retrospective process from traces to psychology and physiology. It is not only the starting point and foundation of criminal investigation, but also the key part for solving criminal cases. As a typical open complex social system, it has three features, namely, uncertainty, diversity, and complexity, thus making the system modeling a huge challenge. In this paper, we propose the parallel crime scene analysis system based on the artificial societies, computational experiments and parallel execution (ACP) approach, which uses artificial (A) crime scene to describe the basic elements, functions and states of the criminals, computational (C) experiments to compute and predict the different forms of crime scene, and parallel (P) execution to guide or control the evolution of the physical crime process in accordance with the results from the artificial crime scene. First, we propose the concept of parallel crime scene from the perspective of complex system theory and give an overview of its architecture, then we present the construction method of artificial crime scene and the blackboard-based multiagent artificial crime scene analysis system. On this basis, the temporal and spatial interaction models of the criminal subjects are proposed and verified. After that, we introduce the software-defined crime scene analyzing model systematically. The ACP approach sheds light on the intelligent management and control for complex crime scene analysis. |
语种 | 英语 |
源URL | [http://ir.ia.ac.cn/handle/173211/21746] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
作者单位 | Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100864, Peoples R China |
推荐引用方式 GB/T 7714 | Shuai Wang,Xiao Wang,Peijun Ye,et al. Parallel Crime Scene Analysis Based on ACP Approach[J]. IEEE Transactions on Computational Social Systems,2018,5(1):244-255. |
APA | Shuai Wang,Xiao Wang,Peijun Ye,Yong Yuan,Shuo Liu,&Fei-Yue Wang.(2018).Parallel Crime Scene Analysis Based on ACP Approach.IEEE Transactions on Computational Social Systems,5(1),244-255. |
MLA | Shuai Wang,et al."Parallel Crime Scene Analysis Based on ACP Approach".IEEE Transactions on Computational Social Systems 5.1(2018):244-255. |
入库方式: OAI收割
来源:自动化研究所
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