A blackboard architecture for control
Artificial Intelligence
Artificial Intelligence
C4.5: programs for machine learning
C4.5: programs for machine learning
A hierarchical representation of control knowledge for a heuristic classification shell
A hierarchical representation of control knowledge for a heuristic classification shell
Recursive heuristic classification
International Journal of Expert Systems
Automated intelligent pilots for combat flight simulation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Bayesian network models for generation of crisis management training scenarios
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
The art of artificial intelligence: themes and case studies of knowledge engineering
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Afterword: from this revolution to the next
Smart machines in education
Qualitative simulation of temporal concurrent processes using Time Interval Petri Nets
Artificial Intelligence
Automated tutoring dialogues for training in shipboard damage control
SIGDIAL '01 Proceedings of the Second SIGdial Workshop on Discourse and Dialogue - Volume 16
Training for Crisis Decision-Making: Psychological Issues and Computer-Based Solutions
Journal of Management Information Systems
Responding to Student Uncertainty in Spoken Tutorial Dialogue Systems
International Journal of Artificial Intelligence in Education
The Behavior of Tutoring Systems
International Journal of Artificial Intelligence in Education
Spoken dialogue for simulation control and conversational tutoring
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Intelligent Tutoring for Ill-Defined Domains in Military Simulation-Based Training
International Journal of Artificial Intelligence in Education
A knowledge-based decision support system for shipboard damage control
Expert Systems with Applications: An International Journal
Team reactions to voiced agent instructions in a pervasive game
Proceedings of the 2013 international conference on Intelligent user interfaces
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The decision making task of ship damage control includes addressing problems such as fire spread, flooding, smoke, equipment failures, and personnel casualties. It is a challenging and highly stressful domain with a limited provision for real-life training. In response to this need, a multimedia interactive damage control simulator system, called DC-Train 2.0 was recently deployed at a Navy officer training school; it provides officers with an immersive environment for damage control training. This paper describes a component of the DC-Train 2.0 system that provides feedback to the user, called the automated instructor assistant. This assistant is based on a blackboard-based expert system called Minerva-DCA, which is capable of solving damage control scenarios at the "expert" level. Its innovative blackboard architecture facilitates various forms of user assistance, including interactive explanation, advising, and critiquing. In a large exercise involving approximately 500 ship crises scenarios, Minerva-DCA showed a 76% improvement over Navy officers by saving 89 more ships.