695 research outputs found

    Developing a National Model for Pre-Trial Risk Assessment

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    Every day in America, judges have to answer a critical question again and again: What are the chances that a recently arrested defendant, if released before trial, will commit a new crime, a new violent crime, or fail to appear for court?This may be the single most important decision made in the criminal justice system because it impacts everything that follows: whether or not a defendant is sentenced to jail or prison, how long he is incarcerated, and most importantly, how likely he is to commit violence or other crimes in the future. Yet, most of these decisions are made in a subjective manner, without the benefit of data-driven, objective assessments of the risks individual defendants pose to public safety

    Automatic programming of simulation models

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    The concepts of software engineering were used to improve the simulation modeling environment. Emphasis was placed on the application of an element of rapid prototyping, or automatic programming, to assist the modeler define the problem specification. Then, once the problem specification has been defined, an automatic code generator is used to write the simulation code. The following two domains were selected for evaluating the concepts of software engineering for discrete event simulation: manufacturing domain and a spacecraft countdown network sequence. The specific tasks were to: (1) define the software requirements for a graphical user interface to the Automatic Manufacturing Programming System (AMPS) system; (2) develop a graphical user interface for AMPS; and (3) compare the AMPS graphical interface with the AMPS interactive user interface

    A Rising Share: Hispanics and Federal Crime

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    Analyzes the rise in the percentage of Latinos/Hispanics among sentenced federal offenders in 1991-2007 by citizenship status, offense, length of sentence, and U.S. district. Examines the effect of heightened enforcement of immigration laws

    Anytime Cognition: An information agent for emergency response

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    Planning under pressure in time-constrained environments while relying on uncertain information is a challenging task. This is particularly true for planning the response during an ongoing disaster in a urban area, be that a natural one, or a deliberate attack on the civilian population. As the various activities pertaining to the emergency response need to be coordinated in response to multiple reports from the disaster site, a user finds itself cognitively overloaded. To address this issue, we designed the Anytime Cognition (ANTICO) concept to assist human users working in time-constrained environments by maintaining a manageable level of cognitive workload over time. Based on the ANTICO concept, we develop an agent framework for proactively managing a user’s changing information requirements by integrating information management techniques with probabilistic plan recognition. In this paper, we describe a prototype emergency response application in the context of a subset of the attacks devised by the American Department of Homeland Security
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