- LEARNING-BASED KNOWLEDGE REPRESENTATION Gheorghe Tecuci and Mihai Boicu
- In Proceedings of the 16th International FLAIRS Conference (FLAIRS-2003), Special Track on Machine Learning, May 2003, Florida. AAAI Press, Menlo Park, CA 2003.
- Mixed-Initiative Agent Teaching and Learning Mihai Boicu, Gheorghe Tecuci and Bogdan Stanescu
- This paper presents the experience of a university research group that has successfully deployed an
- Mixed-Initiative Ontology Learning Cristina Boicu, Gheorghe Tecuci
- Mixed-Initiative Development of Knowledge Bases Tecuci G., Boicu M., Wright K., and Lee S.W.
- In Y.Kodratoff (ed), Machine Learning -EWSL91, Springer-Verlag, 1991 A MULTISTRATEGY LEARNING APPROACH TO
- Teaching Virtual Experts for Multi-Domain Collaborative Planning
- Learning Complex Problem Solving Expertise from Failures Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
- LESSONS AND STORIES ABOUT CONCEPTS
- PhD Dissertation in Information Technology, School of Information Technology and Engineering, George Mason University, Fairfax Virginia, 2002.
- International Journal of Computational Intelligence Research. ISSN 0973-1873 Vol.1, No.1 (2005), pp. 85-97
- Research Report #7, Learning Agents Center, George Mason University, August 2009, updated October 2009, March 2010.
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- AI Magazine, Volume 28, Number 2, pp 11-18, Summer 2007 Seven Aspects of Mixed-Initiative Reasoning
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- In Proceedings of the Conference "Ontology for the Intelligence Community: Setting the Stage for High-level Knowledge Fusion," George Mason University, Fairfax, Virginia Campus, 20 -22 October 2009.
- International Journal of Intelligence and Counterintelligence, vol.22: 298-319, 2009. DAVID SCHUM, GHEORGHE TECUCI, MIHAI BOICU
- In R.S.Michalski and G.Tecuci (eds), Machine Learning: A Multistrategy Approach, Morgan Kaufmann, 1994.
- In Jain L., (ed.), Advanced Information Systems in Defense and Related Applications, Springer Verlag, 2002.
- This paper presents several design principles used in the development of the Disciple learning agents. The
- Disciple-RKF/COG: Agent Teaching by Subject Matter Experts Mihai Boicu1
- Evaluation of Mixed-Initiative Knowledge Base Development Methods and Tools Ping Shyr*, Gheorghe Tecuci, Mihai Boicu
- In Teodorescu, H.N., Mlynek, D., Kandel, A. and Zimmermann, H.J. (eds). Intelligent Systems and Interfaces, Kluwer Academic Press. 2000.
- In B.P. Goettl, H.M. Halff, C.L. Redfield, V.J. Shute (Eds.), Intelligent Tutoring Systems, 4th International Conference, ITS'98, San Antonio, Texas, USA, Springer Verlag, 1998.
- A Mixed-Initiative Approach to Rule Refinement for Knowledge-Based Agents
- Ontologies and the Knowledge Acquisition Bottleneck Mihai Boicu, Gheorghe Tecuci, Bogdan Stanescu, Gabriel C. Balan and Elena Popovici
- In Proceedings the Fifth International Conference on Semantic Technologies for Intelligence, Defense, and Security STIDS 2010.
- In Proceedings of the 2001 International Conference on Tools With Artificial Intelligence, ICTAI-2001, Dallas, Texas, November 2001. Automatic Knowledge Acquisition from Subject Matter Experts
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- In Proceedings of the First International Conference on Intelligence Analysis, McLean, VA, 2-6 May, 2005. This paper presents research on developing a
- A Methodology for Modeling and Representing Expert Knowledge that Supports Teaching-Based Intelligent Agent Development
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- American Intelligence Journal, Vol. 28, No. 2, December 2010. TEACHING INTELLIGENCE ANALYSIS WITH TIACRITIS
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- Studies in Informatics and Control, December 2007, Volume 16, Number 4, pp. 459468. Mixed-Initiative Assumption-Based Reasoning
- Cognitive Assistants for Analysts Dr. Gheorghe Tecuci, Dr. Mihai Boicu, Mr. Dorin Marcu, Dr. Cristina Boicu, Mr. Marcel Barbulescu
- DISCIPLELTA: ANALYST'S COGNITIVE ASSISTANT
- Mixed-Initiative Assistant for Modeling Expert's Reasoning Mihai Boicu, Gheorghe Tecuci, Dorin Marcu
- A Learning and Reasoning System for Intelligence Analysis Mihai Boicu, Gheorghe Tecuci, Cindy Ayers1
- Rule Refinement by Domain Experts in Complex Knowledge Bases Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
- Improving Agent Learning through Rule Analysis Cristina Boicu, Gheorghe Tecuci, Mihai Boicu
- Rapid Development of Large Knowledge Bases* Marcel Barbulescu1
- Proceedings of the IJCAI-03 Workshop on Mixed-Initiative Intelligent Systems, Acapulco, Mexico, August 2003. This paper discusses research issues in the
- PhD Dissertation in Information Technology, School of Information Technology and Engineering, George Mason University, Fairfax Virginia, 2002.
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- Development and Deployment of a Disciple Agent for Center of Gravity Analysis
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- An Innovative Application from the DARPA Knowledge Bases Programs: Rapid Development of a Course of Action Critiquer
- Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference, October 2001. Proceedings of the 2001 IEEE Systems, Man, and Cybernetics Conference
- In Proceedings of the SouthEastern Regional ACM Conference, Atlanta, GA, March 16-17, Ontology Development for Military Applications
- A Mixed-Initiative Approach to Teaching Agents to Do Things Mihai Boicu, Dorin Marcu, Michael Bowman, and Gheorghe Tecuci
- Learnable Representation for Real World Planning Mihai Boicu, Gheorghe Tecuci, Bogdan Stanescu, Liviu Panait, Cristina Cascaval
- Rapid Development of a High Performance Knowledge Base for Course of Action Critiquing
- Mixed-Initiative Reasoning for Integrated Domain Modeling, Learning and Problem Solving Mihai Boicu and Gheorghe Tecuci
- In Proceedings of the International Conference on Artificial Intelligence in Design, Worcester, MA, June In Proceedings of the 6th
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- Building agents from shared ontologies through apprenticeship multistrategy learning
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- A Tool for Training and Assistance in Emergency Response Planning Gheorghe Tecuci, Mihai Boicu, Thomas Hajduk,
- In Proc. of the IJCAI-03 Workshop on Ontologies and Distributed Systems, Acapulco, Mexico, August 2003. We are developing a general end-to-end approach,
- In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99), Student Abstract Program, July 18-22, Orlando, Florida, AAAI Press, Menlo Park, CA. 1999.
- User-Agent Interactions in Mixed-Initiative Learning Dorin Marcu, Mihai Boicu, Gheorghe Tecuci
- In Proceedings of the IJCAI-03 Workshop on Mixed-Initiative Intelligent Systems, Acapulco, Mexico, August 2003. Disciple is an approach to agent development by
- In Proceedings of the Technology Demonstration Session of the 14th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2004, 5-8th October 2004 -Whittlebury Hall, Northamptonshire, UK.
- Journal of Intelligence Community Research and Development, July 2008. Disclaimer: The views and opinions expressed in this article are those of the authors and do not
- Computational Intelligence, Volume 21, Number 4, pp.462-479, November 2005 THE DISCIPLE-RKF LEARNING AND REASONING AGENT
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- In Proceedings of the ITS'98 Workshop 3 -Efficient ITS Development, San Antonio, TX, 1998. Efficient Development of Intelligent Test Generation Agents
- AAAI Fall Symposium on Advances in Cognitive Systems, Arlington, VA, 4 -6 November 2011. Cognitive Assistants for Evidence-Based Reasoning Tasks
- International Conference on Control Systems and Computer Science, University Politehnica of Bucharest, May 24-27, 2011
- Invited Talk The Sixth International Conference on Semantic Technologies
