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OPTIMIZED ARTIFICIAL INTELLIGENCE MACHINES THAT ALLOCATE PATROL AGENTS TO MINIMIZE OPPORTUNISTIC CRIME BASED ON LEARNED MODEL
OPTIMIZED ARTIFICIAL INTELLIGENCE MACHINES THAT ALLOCATE PATROL AGENTS TO MINIMIZE OPPORTUNISTIC CRIME BASED ON LEARNED MODEL
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机译:优化的人工智能机,基于学习的模型,分配巡逻代理以最小化机会犯罪
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摘要
An optimized artificial intelligence machine may: receive information indicative of the times, locations, and types of crimes that were committed over a period of time in a geographic area; receive information indicative of the number and locations of patrol agents that were patrolling during the period of time; build a learning model based on the received information that learns the relationships between the locations of the patrol agents and the crimes that were committed; and determine whether and where criminals would commit new crimes based on the learning model and a different number of patrol agents or locations of patrol agents. The optimized artificial intelligence machine may determine an optimum location of a pre-determined number of patrolling agents to minimize the number or seriousness of crimes in a geographic area based on the learned model of the relationships between the locations of the patrol agents and the crimes that were committed, and may automatically activate or position one or more of the patrolling agents in accordance with the determination.
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