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Scientist at Charles River Analytics Publishes Data-driven Generation of Policies - ebook is part of Springer Brief's Computer Science series - CRA.com
Scientist at Charles River Analytics Publishes Data-driven Generation of Policies

 

NewswireToday - /newswire/ - Cambridge, MA, United States, 2014/04/04 - ebook is part of Springer Brief's Computer Science series - CRA.com.

   
 
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Dr. Amy Sliva, a scientist at Charles River Analytics, co-authored a SpringerBrief, Data-driven Generation of Policies, with University of Maryland professors Dr. Austin Parker and Dr. V.S. Subrahmanian, and University of Oxford professor Dr. Geraldo Simari. This ebook presents basic and enhanced algorithms that address optimal state change attempts, state change effectiveness, and effect estimators to help researchers analyze tabular data containing states and events whose effects are not well understood.

Dr. Sliva explains,“Essentially, this work is about a data-driven approach that uses human socio-cultural behavioral data to automatically generate possible courses of action or mitigating policies. The basic idea is to understand what aspects of the state of the world can be changed to induce more favorable behavioral responses, while balancing issues such as feasibility, cost, resource constraints, and probability of success.”

Data-driven Generation of Policies is part of the SpringerBrief Computer Science series. SpringerBriefs are approximately 50-125 page ebook summaries of professional and academic content that cover a wide range of cutting-edge research and practical applications.

About Charles River Analytics

Since 1983, Charles River Analytics (CRA.com) has been delivering intelligent systems that transform our customers' data into mission-relevant tools and solutions to support critical assessment and decision-making. Charles River continues to grow its technology, customer base, and strategic alliances through research and development programs for the DoD and the Intelligence Community, addressing a broad spectrum of mission areas and functional domains, including: sensor and image processing, situation assessment and decision aiding, human systems integration, and cyber analytics. These efforts have resulted in a series of successful products that support continued growth in our core R&D contracting business, as well as the commercial sector. Charles River became an employee-owned company in 2012, to set the stage for the next-generation of innovation, service, and growth.

 
 
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Written by / Agency / Source: Charles River Analytics, Inc.

 
 

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Scientist at Charles River Analytics Publishes Data-driven Generation of Policies

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