Disciple is a general agent shell for building cognitive assistants that can learn subject matter expertise from their users and can assist them in solving complex problems in uncertain and dynamic environments. It is developed by Gheorghe Tecuci and other members of the Learning Agents Center at George Mason University, Fairfax, VA, USA.
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Disciple homepage
Общие сведения
Software Development and Applications:
Dr. Tecuci and his collaborators have successfully employed the Disciple approach to develop and apply knowledge-based agents for a wide variety of domains.
Disciple-COG is a learning and decision-support agent for military center of gravity determination. This software system has been used by high ranking military officers in courses at the US Army War College (since 2001), at the Air War College and at George Mason University. The most recent version of it is available on CD as part of the book Tecuci G., Boicu M., and Comello J., Agent-Assisted Center of Gravity Analysis, GMU Press, ISBN 978-0-615-23812-8, 2008.
Disciple-LTA is a new type of tool that incorporates a significant amount of knowledge from the Science of Evidence. It can rapidly acquire expertise in intelligence analysis, can train new intelligence analysts, and can help analysts find solutions to complex problems, through mixed-initiative reasoning, allowing a synergistic integration of a human's experience and creativity with an agent's knowledge and speed. Successive versions of this system have been used in courses at the US Army War College and at George Mason University, as well as in experiments and special courses with intelligence analysts.
Disciple-FS is a suite of tools for building, utilizing, and maintaining regulatory knowledge bases for modern, dynamic business organizations, especially financial services firms. It has been developed as part of an NSF-funded Small Business Technology Transfer Program and has been licensed to Exprentis Inc.
TIACRITIS is a web agent for teaching intelligence analysts the critical thinking skills needed to perform evidence-based reasoning. This system (and associated textbook) is based on a computational theory which views Intelligence Analysis as ceaseless discovery of evidence, hypotheses, and arguments, in a complex world that is changing all the time. It helps students learn about the properties, uses, and marshaling of evidence upon which all analyses rest, through regular practice involving analyses of evidence in both hypothetical and real situations.Dr. Tecuci has published over 185 papers (http://lac.gmu.edu/publications/)
