Using abstractions to solve opportunistic crime security games at scale

• Main Authors: ZHANG, Chao, BUCAREY, Victor, MUKHOPADHYAY, Ayan, SINHA, Arunesh, QIAN. Yundi, VOROBEYCHIK, Yevgeniy, TAMBE, Milind
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4659; https://ink.library.smu.edu.sg/context/sis_research/article/5662/viewcontent/abstract_game_1_.pdf
• Institution: Singapore Management University

In this paper, we aim to deter urban crime by recommending optimal police patrol strategies against opportunistic criminals in large scale urban problems. While previous work has tried to learn criminals' behavior from real world data and generate patrol strategies against opportunistic crimes,...