Automated Expert Modeling and Student Evaluation
Abstract
AEMASE searches a database of recorded events for combinations of events that are of interest. It compares matching combinations to a statistical model to determine similarity to previous events of interest and alerts the user as new matching examples are found. AEMASE is currently used by weapons tactics instructors to find situations of interest in recorded tactical training scenarios. AEMASE builds on a sub-component, the Relational Blackboard (RBB), which is being released as open-source software. AEMASE builds on RBB adding interactive expert model construction (automated knowledge capture) and re-evaluation of scenario data.
- Publication Date:
- Research Org.:
- Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- Contributing Org.:
- Robert G Abbott, Derek Trumbo, Jon Whetzel
- OSTI Identifier:
- 1231555
- Report Number(s):
- AEMASE V.1.0; 002781MLTPL00
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Software
- Software Revision:
- 00
- Software Package Number:
- 002781
- Software Package Contents:
- Media Directory; Software Abstract; Media includes Source Code; Object Library; User Guide; Executable Module(s); Programmer Documentation;/1 CD-ROM
- Software CPU:
- MLTPL
- Open Source:
- No
- Source Code Available:
- Yes
- Country of Publication:
- United States
Citation Formats
. Automated Expert Modeling and Student Evaluation.
Computer software. Vers. 00. USDOE. 12 Sep. 2012.
Web.
. (2012, September 12). Automated Expert Modeling and Student Evaluation (Version 00) [Computer software].
. Automated Expert Modeling and Student Evaluation.
Computer software. Version 00. September 12, 2012.
@misc{osti_1231555,
title = {Automated Expert Modeling and Student Evaluation, Version 00},
author = {},
abstractNote = {AEMASE searches a database of recorded events for combinations of events that are of interest. It compares matching combinations to a statistical model to determine similarity to previous events of interest and alerts the user as new matching examples are found. AEMASE is currently used by weapons tactics instructors to find situations of interest in recorded tactical training scenarios. AEMASE builds on a sub-component, the Relational Blackboard (RBB), which is being released as open-source software. AEMASE builds on RBB adding interactive expert model construction (automated knowledge capture) and re-evaluation of scenario data.},
doi = {},
url = {https://www.osti.gov/biblio/1231555},
year = {Wed Sep 12 00:00:00 EDT 2012},
month = {Wed Sep 12 00:00:00 EDT 2012},
note =
}
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