• Yves Kodratoff and Gheorghe Tecuci. DISCIPLE-1: Interactive Apprentice System in Weak Theory Fields. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 271–273, 1987.
• Gheorghe Tecuci and Yves Kodratoff. Apprenticeship Learning in Imperfect Domain Theories. In Machine Learning: An Artificial Intelligence Approach, pages 514–552. 1990. (doi:10.1016/B978-0-08-051055-2.50028-6)
• L De Raedt, J Feyaerts, and M Bruynooghe. Acquiring Object-knowledge for Learning Systems. Proceedings of the Fifth European Working Session on Learning, 482:245–264, 1991.
• Gheorghe Tecuci. A Multistrategy Learning Approach to Domain Modeling and Knowledge Acquisition. European Working Session on Learning, 1991. (doi:10.1017/CBO9781107415324.004)
• Gheorghe Tecuci. Steps Toward Automating Knowledge Acquisition for Expert Systems. In Proceedings of the AAAI-91 Workshop Knowledge Acquisition: From Science to Technology to Tools, pages 1–14, 1991.
• Gheorghe Tecuci and Ryszard S. Michalski. Input Understanding as a Basis for Multistrategy Task-Adaptive Learning. International Symposium on Methodologies for Intelligent Systems, pages 3–18, 1991.
• Gheorghe D Tecuci and Ryszard S Michalski. A Method for Multistrategy Task-adaptive Learning Based on Plausible Justifications. In L. Birnbaum and G. Collins, editors, Machine Learning: Proceedings of the Eighth International Conference, pages 549–553. Morgan Kaufmann, Chicago, 1991.
• Gheorghe D. Tecuci. Automating Knowledge Acquisition as Extending, Updating, and Improving a Knowledge Base. IEEE Transactions on Systems, Man and Cybernetics, 22(6):1444–1460, 1992. (doi:10.1109/21.199468)
• Gheorghe D. Tecuci. Cooperation in Knowledge Base Refinement. In Machine Learning: Proceedings of the Ninth International Conference, pages 445–450, 1992. (doi:10.1016/B978-1-55860-247-2.50062-0)
• Michael R. Hieb, David Hille, and Gheorghe Tecuci. Designing A Computer Opponent for Wargames: Integrating Planning, Knowledge Acquisition and Learning in WARGLES. In Proceedings of thAAAI 93 Fall Symposium - Games: Planning and Learning, 1993.
• Gheorghe Tecuci and David Duff. A framework for knowledge base refinement through multistrategy learning and knowledge acquisition, 1994.
• Gheorghe Tecuci and Michael Hieb. Consistency-driven knowledge elicitation: using a learning-oriented knowledge representation that supports knowledge elicitation in NeoDISCIPLE, 1994. (doi:10.1006/knac.1994.1002)
• Gheorghe Tecuci, Michael R Hieb, David Hille, and J Mark Pullen. Building Adaptive Autonomous Agents for Adversarial Domains. Planning and Learning On to Real Applications Papers from the 1994 AAAI Fall Symposium, pages 142–148, 1994.
• Agnar Aamodt. Knowledge acquisition and learning by experience–The role of case-specific knowledge. Machine learning and knowledge acquisition, pages 197–245, 1995.
• Tomasz Dybala and Gheorghe D. Tecuci. SHARED EXPERTISE SPACE: A Learning-oriented Model for Computer Aided Engineering Design. In Proceedings of the IJCAI-95 Workshop on Machine Learning in Engineering, 1995.
• Gheorghe Tecuci. Building Knowledge Bases through Multistrategy Learning and Knowledge Acquisition. In Gheorghe D. Tecuci and Yves Kondratoff, editors, Machine Learning and Knowledge Acquisition: Integrated Approaches. Academic Press, 1995.
• Gheorge Tecuci, Michael R. Hieb, and Tomasz Dybala. Building an Adaptive Agent to Monitor and Repair the Electrical Power System of an Orbital Satellite. The 1995 Goddard Conference on Space Applications of Artificial Intelligence and Emerging Information Technologies, 1995. (doi:10.1017/CBO9781107415324.004)
• Gheorghe Tecuci, Michael R. Hieb, and Tomasz Dybala. Teaching an automated agent to monitor the electrical power system of an orbital satellite. Telematics and Informatics, 12(3-4):229–245, 1995. (doi:10.1016/0736-5853(95)00017-8)
• Tomasz Dybala, Gheorghe Tecuci, and Harry Keeling. Building Disciple Agents: Selected Validation and Verification Issues. 1996.
• Tomasz Dybala, Gheorghe Tecuci, and Hadi Rezazad. The shared expertise model for teaching interactive design assistants. Engineering Applications of Artificial Intelligence, 9(6):611–626, 1996. (doi:10.1016/S0952-1976(96)00056-5)
• Michael R. Hieb and Gheorghe Tecuci. Training an Agent Through Demonstration : A Plausible Version Space. AAAI Technical Report SS-96-02, pages 45–49, 1996.
• Gheorghe Tecuci and Michael R. Hieb. Teaching intelligent agents: The disciple approach. International Journal of Human-Computer Interaction, 8(3):259–285, 1996. (doi:10.1080/10447319609526152)
• Henry Hamburger and Gheorghe Tecuci. Architecture of a Pedagogical Agent for Human-Computer Learning and Tutoring. In Proceedings of the ITS-98 Workshop 2 - Pedagogical Agents, 1998.
• Henry Hamburger and Gheorghe Tecuci. Toward a Unification of Human-Computer Learning and Tutoring. nternational Conference on Intelligent Tutoring Systems, pages 444–453, 1998.
• Gheorghe Tecuci and Harry Keeling. Efficient Development of Intelligent Test Generation Agents with the Disciple Learning Agent Shell. In Proceedings of the ITS'98 Workshop 3 - Efficient ITS Development, 1998.
• Gheorghe Tecuci and Harry Keeling. Teaching an agent to test students. In Proceedings of the International Conference on Machine Learning, pages 565–573, 1998.
• G. Tecuci, K. Wright, S. W. Lee, M. Boicu, and M. Bowman. A Learning Agent Shell and Methodology for Developing Intelligent Agents. AAAI Technical Report WS-98-10, pages 37–46, 1998.
• Gheorghe Tecuci, Harry Keeling, Tomasz Dybala, Kathryn Wright, and David Webster. The Disciple Learning Agent Shell and a Disciple Test Generation Agent. Exhibit at the International Conference on Intelligent Tutoring Systems, ITS, 98, 1998.
• M. Boicu, G. Tecuci, M. Bowman, D. Marcu, S. W. Lee, and K. Wright. A problem-oriented approach to ontology creation and maintenance. In Priceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99) Workshop on "Ontology Management", 1999.
• M. Boicu, G. Tecuci, D. Marcu, S. W. Lee, and K. Wright. A Problem-Oriented Approach to Ontology Development. Proceedings of the 16th National Conference on Artificial Intelligence Workshop on Ontology Management, 1999.
• Seok Won Lee and Gheorghe Tecuci. Knowledge base revision through exception-driven discovery and learning. In Proceedings of the National Conference on Artificial Intelligence, 1999.
• Gheorghe Tecuci and Harry Keeling. Developing an Intelligent Educational Agent with Disciple. International Journal of Artificial Intelligence in Education, 10:221–237, 1999.
• Gheorghe Tecuci, Mihai Boicu, Kathryn Wright, Seok Won Lee, Dorin Marcu, and Michael Bowman. Integrated shell and methodology for rapid development of knowledge-based agents. Proceedings of the National Conference on Artificial Intelligence, pages 250–257, 1999.
• Gheorghe D. Tecuci, Mihai Boicu, Kathryn Wright, and Seok Won Lee. Mixed-Initiative Development of Knowledge Bases. In Proceedings of the Sixteenth National Conference on Artificial Intelligence (AAAI-99) Workshop on "Mixed-Initiative Intelligence", pages 51–59, 1999.
• Mihai Boicu and Gheorghe Tecuci. Mixed-Initiative Reasoning for Integrated Domain Modeling, Learning and Problem Solving. In AAAI-00 Proceedings, 2000.
• Mihai Boicu, Dorin Marcu, Michael Bowman, and Gheorghe Tecuci. A Mixed-Initiative Approach to Teaching Agents to Do Things. AAAI Technical Report FS-00-02, 2000.
• Mihai Boicu, Gheorghe Tecuci, Dorin Marcu, M. Bowman, Ping Shyr, Florin Ciucu, and Cristian Levcovici. Disciple-COA: From Agent Programming to Agent Teaching Mihai. In Proceedings of the 17th International Conference on Machine Learning (ICML), 2000.
• Mihai Boicu, Gheorghe Tecuci, Bogdan Stanescu, Liviu Panait, and Cristina Cascaval. Learnable Representation for Real World Planning. AAAI Technical Report WS-00-07, 2000.
• Gheorghe Tecuci, Mihai Boicu, Michael Bowman, Dorin Marcu, Ping Shyr, and Cristina Cascaval. An Experiment in Agent Teaching by Subject Matter Experts. International Journal of Human-Computer Studies, 53(4):583–610, 2000. (doi:10.1006/ijhc.2000.0401)
• Gheorghe Tecuci, Mihai Boicu, and Dorin Marcu. Learning Agents Teachable by Typical Computer Users. In Proceedings of the AAAI-2000 Workshop on New Research Problems for Machine Learning, 2000.
• M. Boicu, G. Tecuci, B. Stanescu, D. Marcu, and C. Cascaval. Automatic knowledge acquisition from subject matter experts. In Proceedings 13th IEEE International Conference on Tools with Artificial Intelligence ICTAI 2001, pages 69–78, 2001. (doi:10.1109/ICTAI.2001.974450)
• Mihai Boicu, Gheorghe Tecuci, and Bogdan Stanescu. Mixed-Initiative Agent Teaching and Learning. In Proceedings of the 2001 International Conference on Artificial Intelligence, pages 122–128, 2001.
• Mihai Boicu, Gheorghe Tecuci, Bogdan Stanescu, Catalin Balan, and Elena Popovici. Ontologies and the Knowledge Acquisition Bottleneck. In Proceedings o 7th International Joint Conference on Artificial Intelligence (IJCAI), pages 9–18, 2001.
• Michael Bowman, Antonio M. Lopez, James Donlon, and Gheorghe Tecuci. Teaching Intelligent Agents: Software Design Methodology. CrossTalk: The journal of Defense Software Engineering, 2001.
• Michael Bowman, Antonio M. Lopez, and Gheorghe Tecuci. Ontology Development for Military Applications. In Proceedings of the Thirty-ninth Annual ACM Southeast Conference, pages 1–15, 2001.
• Michael Bowman, Gheorghe Tecuci, and Marion G. Ceruti. Application of Disciple to decision making in complex and constrained environments. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pages 2932–2940, 2001. (doi:10.1109/ICSMC.2001.971956)
• Dorin Marcu, Mihai Boicu, and Gheorghe Tecuci. User-Agent Interactions in Mixed-Initiative Learning. In Proceedings of the Florida Artificial Intelligence Research Society Conference (FLAIRS), 2001.
• Ping Shyr, Gheorghe Tecuci, and Mihai Boicu. Evaluation of Mixed-Initiative Knowledge Base Development Methods and Tools Disciple Learning Agent Shell. In Proceedings of IJCAI-2001 Workshop on Empirical Methods in AI, 2001.
• Gheorghe Tecuci, Mihai Boicu, Michael Bowman, and Dorin Marcu. An innovative application from the DARPA knowledge bases programs: Rapid development of a course of action critiquer. AI Magazine, 22(2):43–61, 2001.
• Gheorghe Tecuci and Mihai Boicu. 9 Military Applications of the Disciple Learning Agent. In L. Jain, editor, Advanced Information Systems in Defense and Related Applications. Springer Verlag, 2002.
• Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Bogdan Stanescu, Cristina Boicu, and Jerome Comello. Training and Using Disciple Agents: A Case Study in the Military Center of Gravity Analysis Domain. AI Magazine, 23(4):51–68, 2002.
• Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Bogdan Stanescu, Cristina Boicu, Jerry Comello, Antonio Lopez, James Donlon, and William Cleckner. Development and Deployment of a Disciple Agent for Center of Gravity Analysis. In Proceedings of the 18th National Conference on Artificial Intelligence (AAAI-02), pages 853–860, 2002.
• Marcel Barbulescu, Gabriel Balan, Mihai Boicu, and Gheorghe Tecuci. Rapid Development of Large Knowledge Bases. IEEE International Conference on Systems, Man and Cybernetics, 3:2169–2174, 2003.
• Cristina Boicu, Gheorghe Tecuci, Mihai Boicu, and Dorin Marcu. Improving the Representation Space through Exception-Based Learning. In Proceedings of he Florida Artificial Intelligence Research Society Conference (FLAIRS), 2003.
• Mihai Boicu, Dorin Marcu, Cristina Boicu, and Bogdan Stanescu. Mixed-initiative Control for Teaching and Learning in Disciple. In Proceedings of the IJCAI-03 Workshop on Mixed-Initiative Intelligent Systems, 2003.
• Bogdan Stanescu, Cristina Boicu, Gabriel Balan, Marcel Barbulescu, Mihai Boicu, and Gheorghe Tecuci. Ontologies for Learning Agents: Problems, Solutions and Directions. In Proceedings of the IJCAI-03 Workshop on Ontologies and Distributed Systems, 2003.
• Gheorghe Tecuci, Mihai Boicu, and Dorin Marcu. Toward a Disciple-based Mixed-Initiative Cognitive Assistant. In Proceedings of IJCAI-2003 Workshop on Mixed-Initiative Intelligent Systems, pages 131–137, 2003.
• Cristina Boicu and Gheorghe Tecuci. Mixed-initiative ontology learning. In Proceedings of the 2004 International Conference on Artificial Intelligence, pages 745–751, 2004.
• Mihai Boicu, Gheorghe Tecuci, Bogdan Stanescu, Dorin Marcu, Marcel Barbulescu, and Cristina Boicu. Design principles for learning agents. In Proceedings of AAAI-2004 Workshop on Intelligent Agent Architectures: Combining the Strengths of Software Engineering and Cognitive Systems, pages 26–33, 2004.
• Gheorghe Tecuci. Collaborative Assistant for Rapid Knowledge Formation and Reasoning. AFRL-IF-RS-TR-2004-352 Final Technical Report, 2004.
• Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Bogdan Stanescu, Cristina Boicu, and Marcel Barbulescu. A University Research Group Experience with Deploying an Artificial Intelligence Application in the Center of Gravity Analysis Domain. In Proceedings of AAAI-2004 Workshop on Fielding Applications of Artificial Intelligence, 2004.
• Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Bogdan Stanescu, Mihai Boicu, and Marcel Barbulescu. Parallel Knowledge Base Development by Subject Matter Experts. International Conference on Knowledge Engineering and Knowledge Management, 2004.
• Cristina Boicu, Gheorghe Tecuci, and Mihai Boicu. Improving Agent Learning through Rule Analysis. In Proceedings of the International Conference on Artificial Intelligence, 2005.
• Cristina Boicu, Gheorghe Tecuci, and Mihai Boicu. Rule Refinement by Domain Experts in Complex Knowledge Bases An Integrated Approach to Rule Refinement. Proceedings Of The National Conference On Artificial Intelligence, 20(4):13–14, 2005.
• Mihai Boicu, Gheorghe Tecuci, Cindy Ayers, Dorin Marcu, Cristina Boicu, Marcel Barbulescu, Bogdan Stanescu, William Wagner, Vu Le, Denitsa Apostolova, and Adrian Ciubotariu. A Learning and Reasoning System for Intelligence Analysis. Proceedings of the National Conference on Artificial Intelligence, 20(4), 2005.
• Mihai Boicu, Gheorghe Tecuci, and Dorin Marcu. Mixed-Initiative Assistant for Modeling Expert's Reasoning. In Proceedings of the AAAI-05 Fall Symposium on Mixed-Initiative Problem-Solving Assistants, 2005.
• Yves Kondratoff and Gheorghe Tecuci. The Central Role of Explanations in DISCIPLE. In Knowledge Representation and Organization in Machine Learning, volume 347. 2005. (doi:10.1017/CBO9781107415324.004)
• Gheorghe Tecuci, Mihai Boicu, Cindy Ayers, and David Cammons. Personal cognitive assistants for military intelligence analysis: Mixed-initiative learning, tutoring, and problem solving. In Proceedings of the First International Conference on Intelligence Analysis, pages 2–6, 2005.
• Gheorghe Tecuci, Mihai Boicu, Cristina Boicu, Dorin Marcu, Bogdan Stanescu, and Marcel Barbulescu. The Disciple-RKF learning and reasoning agent. Computational Intelligence, 21(4):462–479, 2005. (doi:10.1111/j.1467-8640.2005.00282.x)
• Gheorghe Tecuci, Mihai Boicu, Cristina Boicu, Dorin Marcu, Bogdan Stanscu, and Marcel Barbulescu. The DISCIPLE-RKF Learning and Reasoning Agent. Computational Intelligence, 21(4):462–479, 2005. (doi:10.1017/CBO9781107415324.004)
• Cristina Boicu, Gheorge Tecuci, and Mihai Boicu. Learning Complex Problem Solving Expertise from Failures Cristina. In Proceedings of the Sixth International Conference on Machine Learning and Applications, pages 217–222, 2007. (doi:10.1109/ICMLA.2007.42)
• Gheorghe Tecuci, Mihai Boicu, Cindy Ayers, Dorin Marcu, Vu Le, and Cristina Boicu. Disciple ‐ LTA: Analyst's Cognitive Assistant. 2007.
• Gheorghe Tecuci, Mihai Boicu, and Michael T. Cox. Seven Aspects of Mixed-Initiative Reasoning: An Introduction to this Special Issue on Mixed-Initiative Assistants. AI Magazine, 28(2):11, 2007.
• Gheorghe Tecuci, Mihai Boicu, Thomas Hajduk, Dorin Marcu, Marcel Barbulescu, Cristina Boicu, and Vu Le. A tool for training and assistance in emergency response planning. In Proceedings of the Annual Hawaii International Conference on System Sciences, pages 1–10, 2007. (doi:10.1109/HICSS.2007.42)
• Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, Cristina Boicu, Marcel Barbulescu, and Cindy Ayers. Cognitive Assistants for Analysts. Journal of Intelligence Community Research and Development, 2007.
• Gheorghe Tecuci, Dorin Marcu, Mihai Boicu, and Vu Le. Mixed-Initiative Assumption-Based Reasoning for Complex Decision-Making. Studies in Informatics and Control, 16(4):459–468, 2007.
• Mihai Boicu, Gheorghe Tecuci, and David Schum. Intelligence analysis ontology for cognitive assistants. In Proceedings of the Conference “Ontology for the Intelligence Community: Towards Effective Exploitation and Integration of Intelligence Resources", 2008.
• Gheorghe Tecuci and Mihai Boicu. A Guide for Ontology Development with Disciple. 2008.
• Gheorghe D. Tecuci and Mihai Boicu. Learning-Based Knowledge Representation. 2008.
• David Schum, Gheorghe Tecuci, Mihai Boicu, and Dorin Marcu. Substance-blind classification of evidence for intelligence analysis. In Proceedings of the Conference “Ontology for the Intelligence Community", 2009.
• David A. Schum, Gheorghe Tecuci, and Mihai Boicu. Analyzing Evidence and Its Chain of Custody: A Mixed-Initiative Computational Approach. International Journal of Intelligence and CounterIntelligence, 22:298–319, 2009. (doi:10.1080/08850600802698259)
• Gheorghe Tecuci, Mihai Boicu, David Schum, and Dorin Marcu. Overcoming Intelligence Analysis Complexity with Cognitive Assistants. Research Report #7, 2009.
• Gheorghe Tecuci, Mihai Boicu, David Schum, and Dorin Marcu. Coping with the Complexity of Intelligence Analysis: Cognitive Assistants for Evidence-Based Reasoning. Research Report #7, 2010.
• Gheorghe Tecuci, David Schum, Mihai Boicu, Dorin Marcu, and Benjamin Hamilton. Intelligence analysis as agent-assisted discovery of evidence, hypotheses and arguments. Smart Innovation, Systems and Technologies, 4:1–10, 2010. (doi:10.1007/978-3-642-14616-9_1)
• Mihai Boicu, Dorin Marcu, Gheorghe Tecuci, and David Schum. Cognitive Assistants for Evidence-Based Reasoning Tasks. AAAI Fall Symposium on Advances in Cognitive Systems, 2011.
• Gheorghe Tecuci, David Schum, Mihai Boicu, Dorin Marcu, and Katherine Russell. Toward a Computational Theory of Evidence-based Reasoning. In Proceedings of the 18th International Conference on Control Systems and Computer Science, 2011.
• Gheorghe Tecuci, Mihai Boicu, Dorin Marcu, and David Schum. How Learning Enables Intelligence Analysts to Rapidly Develop Practical Cognitive Assistants. In Proceedings of the 12th International Conference on Machine Learning and Applications, pages 105–110, 2013. (doi:10.1109/ICMLA.2013.25)