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Artificial Intelligence/Cognitive Science Report and Reprint Archive

David Leake
Computer Science Department, Indiana University

Full papers are in PDF or compressed postscript unless otherwise specified. Abstracts are in plain text or html. A plain text listing of archive contents in refer format with abstracts, publication information and keywords is also available. The archive was last updated on August 18, 2000. For problems, questions, or comments please contact David Leake at leake@cs.indiana.edu.

The URL for this index page is https://homes.luddy.indiana.edu/leake/INDEX.html. Papers can also be retrieved by anonomous ftp from ftp.cs.indiana.edu (129.79.254.195) in the directory /pub/leake.

The archive is divided into sections for

Two additional on-line resources maintained by David Leake are:

Books

[CBR book cover] [GDL book cover] [Evaluating Explanations book cover]

Leake, D. B., editor. (1996) Case-Based Reasoning: Experiences, Lessons, and Future Directions. Menlo Park, CA: AAAI Press/MIT Press, Menlo Park, CA. The overview chapter is available as html and as pdf at https://homes.luddy.indiana.edu/leake/papers/p-96-01.pdf. This book can be ordered online from the MIT Press.

Ram, A. and Leake, D. B., editors. (1995). Goal-Driven Learning. Cambridge, MA: MIT Press/Bradford Books. Prefaces and a condensation of the introductory chapter are available. This book can be ordered online from the MIT Press.

Leake, D. B. (1992). Evaluating Explanations: A Content Theory. Hillsdale, NJ: Lawrence Erlbaum Associates. A brief description and table of contents are available.

Papers

Enhancing Case-Based Reasoning with Neural Networks
David Leake, Zachary Wilkerson, Xiaomeng Ye, and David J. Crandall In Hitzler, P., Sarker, M.K., Eberhart A. (eds.), Compendium of Neurosymbolic Artificial Intelligence, IOS Press, 2023. 23 pages.
Cases are King: A User Study of Case Presentation to Explain CBR Decsions
Lawrence Gates and David Leake and Kaitlynne Wilkerson Case-Based Reasoning Research and Development: Proceedings of the Thirty-First International Conference on Case-Based Reasoning, ICCBR-23, Springer-Verlag, Berlin, 2023. 15 pages. Best Paper Award
Evaluating CBR Explanation Cababilities: Survey and Next Steps
Lawrence Gates and David Leake. XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems, ICCBR-2021, Twenty-Nineth International Conference on Case-Based Reasoning, ICCBR-21, Virtual Conference, Workshop Proceedings CEUR-WS.org/Vol-3017, 2021. 12 pages.
On Bringing Case-Based Reasoning Methodology to Deep Learning.
David Leake and David Crandall Case-Based Reasoning Research and Development: Proceedings of the Twenty-Eighth International Conference on Case-Based Reasoning, ICCBR-20, Springer-Verlag, Berlin, 2020. 5 pages. w
Learning to Improve Efficiency for Adaptation Paths.
David Leake and Xiaomeng Ye. Case-Based Reasoning Research and Development: Proceedings of the Twenty-Eighth International Conference on Case-Based Reasoning, ICCBR-20, Springer-Verlag, Berlin, 2020. 15 pages.
Class-to-class Siamese Networks: Explaining Classification using Supportive and Contrastive Cases.
Xiaomeng Ye, David Leake, William Huibregtse and Mehmet Dalkilic. Case-Based Reasoning Research and Development: Proceedings of the Twenty-Eighth International Conference on Case-Based Reasoning, ICCBR-20, Springer-Verlag, Berlin, 2020. 15 pages.
Harnessing Hundreds of Millions of Cases: Case-Based Prediction at Industrial Scale
Vahid Jalali and David Leake. Case-Based Reasoning Research and Development: Proceedings of the Twenty-Sixth International Conference on Case-Based Reasoning, ICCBR-18, Springer-Verlag, Berlin, 2018. 15 pages.
Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents
David Leake and Brian Schack. Case-Based Reasoning Research and Development: Proceedings of the Twenty-Third International Conference on Case-Based Reasoning, ICCBR-15, Springer-Verlag, Berlin, 2015. 15 pages.
CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation
Vahid Jalali and David Leake. Case-Based Reasoning Research and Development: Proceedings of the Twenty-Third International Conference on Case-Based Reasoning, ICCBR-15, Springer-Verlag, Berlin, 2015. 15 pages. In press.
Automated Identification of Relative Social Status
Katherine Metcalf and David Leake. Proceedings of the Third Annual Conference on Advances in Cognitive Systems, Online proceedings, http://www.cogsys.org/2015-program, Atlanta, Georgia, 2015. 14 pages.
Manual for EAR4 and CAAR Weka Plugins, Case-Based Regression and Ensembles of Adaptations, Version 1
Vahid Jalali and David Leake. Indiana University Computer Science Program Technical Report TR717, 2015. EAR4 and CAAR Weka plugins are available on Sourceforge.
Manual for BEAR: Big Data Ensemble of Adaptations for Regression.
Vahid Jalali and David Leake. A BEAR Weka plugin is available on Sourceforge.
Experience-Based Support for Human-Centered Knowledge Modeling (abstract only)
David Leake, Ana Maguitman, and Thomas Reichherzer. Knowledge-Based Systems (2014), pp. 77-87 DOI information: 10.1016/j.knosys.2014.01.013. Full paper on Elsevier ScienceDirect
On Retention of Adaptation Rules
Vahid Jalali and David Leake. Case-Based Reasoning Research and Development: Proceedings of the Twenty-Second International Conference on Case-Based Reasoning, ICCBR-14, Springer-Verlag, Berlin, 2014. 15 pages.
Adaptation-Guided Case Base Maintenance.
Vahid Jalali and David Leake Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence., AAAI Press, Menlo Park, CA, 2014. 6 pages.
Extending Case Adaptation with Automatically-Generated Ensembles of Adaptation Rules
Vahid Jalali and David Leake. Case-Based Reasoning Research and Development: Proceedings of the Twenty-First International Conference on Case-Based Reasoning, ICCBR-13, Springer-Verlag, Berlin, 2013. 15 pages.
On Deriving Adaptation Rule Confidence from the Rule Generation Process
Vahid Jalali and David Leake. Case-Based Reasoning Research and Development: Proceedings of the Twenty-First International Conference on Case-Based Reasoning, ICCBR-13, Springer-Verlag, Berlin, 2013. 9 pages.
Assembling Latent Cases from the Web: A Challenge Problem for Cognitive CBR
(pdf)
David Leake. ICCBR-2011 Workshop on Human-Centered and Cognitive approaches to CBR,, Nineteenth International Conference on Case-Based Reasoning, ICCBR-11, Greenwich, UK, 2011. 7 pages.
How Many Cases Do You Need? Early Assessment and Prediction of Case-Base Coverage
(pdf)
Mark Wilson and David Leake. Case-Based Reasoning Research and Development: Proceedings of the Nineteenth International Conference on Case-Based Reasoning, ICCBR-11, Springer-Verlag, Berlin, 2011. 15 pages.
Using Case Provenance to Propagate Feedback to Cases and Adaptations
(pdf)
David B. Leake and Scott Dial. ECCBR 2008: Advances in Case-Based Reasoning. Springer-Verlag, Berlin, 2008, pp. 255-268.
Case Provenance: The Value of Remembering Case Sources
(pdf)
David B. Leake and Matthew Whitehead ICCBR 2007: Case-Based Reasoning Research and Development. Springer-Verlag, Berlin, 2007, pp. 194-208. Best paper award
Retrieval, Reuse, Revision, and Retention in CBR
(pdf)
Lopez de Mantaras, Ramon, McSherry, David, Bridge, Derek, Leake, David, Smyth, Barry, Craw, Susan, Faltings, Boi, Maher, Mary Lou, Cox, Michael, Forbus, Kenneth, Keane, Mark, Aamodt, Agnar, Watson, Ian; Retrieval, Reuse, Revision, and Retention in CBR. Knowledge Engineering Review, 20(3), 215--240, 2005.
Facilitating CBR for Incompletely-Described Cases: Distance Metrics for Partial Problem Descriptions
(pdf )
Steven Bogaerts and David Leake ECCBR-2004: Advances in case-based reasoning. Springer Verlag. 14 pages.
Aiding Knowledge Capture by Searching for Extensions of Knowledge Models
(abstract | pdf )
David B. Leake, Ana Maguitman, Thomas Reichherzer, Alberto Cañas, Marco Carvalho, Marco Arguedas, Sofia Brenes, and Tom Eskridge. Proceedings of the Second International Conference on Knowledge Capture (K-Cap 2003). ACM Press. 10 pages. In press.
Dispatching Cases Versus Merging Case-Bases: When MCBR Matters
(abstract | pdf )
David B. Leake and Raja Sooriamurthi, Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS-2003), AAAI Press, 2003, pp. 129-133.
Topic Extraction and Extension to Support Concept Mapping
(abstract | pdf )
David B. Leake, Ana Maguitman, and Thomas Reichherzer. Proceedings of the Sixteenth International Florida Artificial Intelligence Research Society Conference (FLAIRS-2003), AAAI Press, 2003, pp. 325-329
Automatically Selecting Strategies for Multi-Case-Base Reasoning
(abstract | pdf )
David B. Leake and Raja Sooriamurthi. ECCBR 2002: Advances in Case-Based Reasoning. Springer-Verlag, Berlin, 2002, pp. 204-218.
Managing Multiple Case Bases: Dimensions and Issues
(abstract | pdf )
David B. Leake and Raja Sooriamurthi. Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference. AAAI Press, Menlo Park, 2002, pp. 106-110. 5 pages.
Assessing Conceptual Similarity to Support Concept Mapping
(abstract | pdf )
David B. Leake, Ana Maguitman, and Alberto Cañas. Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference. AAAI Press, Menlo Park, 2002, pp. 186-172. 5 pages.
Exploiting Information Access Patterns for Context-Based Retrieval
(abstract | pdf )
Travis Bauer and David B. Leake. Proceedings of the 2002 International Conference on Intelligent User Interfaces, IUI-01, ACM Press, 2001. 2 pages.
Real Time User Context Modeling for Information Retrieval Agents
(abstract | pdf | html)
Travis Bauer and David B. Leake. Proceedings of the 2001 ACM CIKM: Tenth International Conference on Information and Knowledge Management, ACM Press, 2001. 3 pages.
WordSieve: A Method for Real-Time Context Extraction
(abstract | pdf | html)
Travis Bauer and David B. Leake. Modeling and Using Context: Proceedings of the Third International and Interdisciplinary Conference, Context 2001, Springer-Verlag, Berlin, 2001. 14 pages.
Artificial Intelligence (A brief non-technical introduction)
(abstract | html | pdf)
David B. Leake. Van Nostrand Scientific Encyclopedia, Ninth Edition, Wiley, New York, 2002. 11 pages. In press.
When Two Case Bases are Better Than One: Exploiting Multiple Case Bases.
(abstract | pdf.)
David B. Leake and Raja Sooriamurthi. Case-Based Reasoning Research and Development: Proceedings of the Fourth International Conference on Case-Based Reasoning, ICCBR-01, Springer-Verlag, Berlin, 2001. 15 pages.
A Research Agent Architecture for Real Time Data Collection and Analysis.
(abstract | pdf | html)
Travis Bauer and David Leake. Working Notes of the Second International Workshop on Infrastructure for Agents, Multi-Agent Systems, and Scalable Multi-Agent Systems. Fifth International Conference on Intelligent Agents, Montreal, CA, 2001, pp. 61-66.
Combining Concept Mapping with CBR: Towards Experience-Based Support for Knowledge Modeling.
(abstract | pdf.)
Alberto Cañas, David B. Leake and Ana Maguitman. Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference. AAAI Press, Menlo Park, 2001, pp. 286-290.
An Integrated Interface for Proactive, Experience-Based Design Support.
(abstract |pdf )
David B. Leake, Larry Birnbaum, Cameron Marlow, and Hao Yang. Proceedings of the 2001 Conference on Intelligent User Interfaces (IUI-2001). ACM Press, 2001, pp. 101-108.
Towards Context-Based Search Engine Selection.
(abstract |pdf )
David B. Leake and Ryan Scherle. Proceedings of the 2001 Conference on Intelligent User Interfaces (IUI-2001). ACM Press, 2001, pp. 109-112.
Introduction to the Special Issue on Maintaining Case-Based Reasoning Systems.
(pdf )
David B. Leake, Barry Smyth, Qiang Yang, and David C. Wilson. Computational Intelligence,, 17(2):193-195, 2001. 5 pages.
Remembering Why to Remember: Performance-Guided Case-Base Maintenance.
(abstract | pdf.)
David B. Leake and David C. Wilson. Advances in Case-Based Reasoning: Proceedings of EWCBR-2K, Springer-Verlag, Berlin, 2000. 13 pages.
Capture, Storage and Reuse of Lessons about Information Resources: Supporting Task-Based Information Search
(abstract | pdf )
David B. Leake, Travis Bauer, Ana Maguitman and David C. Wilson. Proceedings of the AAAI-00 Workshop on Intelligent Lessons Learned Systems. AAAI Press, Menlo Park, 2000. 5 pages. In press.
Case-Based Recommender Components for Scientific Problem-Solving Environments
(abstract | pdf | ps.Z )
David C. Wilson, David B. Leake and Randall Bramley. Proceedings of the Sixteenth IMACS World Congress, 2000. 6 pages. In press.
Constructing and Transforming CBR Implementations: Techniques for Corporate Memory Management
(abstract | pdf | ps.Z )
Arijit Sengupta, David C. Wilson and David B. Leake. Proceedings of the Workshop on Practical Case-Based Reasoning Strategies for Building and Maintaining Corporate Memories, Third International Conference on Case-Based Reasoning, Seeon, Germany, 1999. 9 pages. (This is a revised version of the paper below.)
On Constructing the Right Sort of CBR Implementation
(abstract | pdf | ps.Z )
Arijit Sengupta, David C. Wilson and David B. Leake. Proceedings of the IJCAI-99 Workshop on Automating the Construction of Case Based Reasoners, Stockholm, Sweden, 1999. 5 pages.
Combining CBR with Interactive Knowledge Acquisition, Manipulation and Reuse
(abstract | pdf | ps.Z )
David B. Leake and David C. Wilson. Proceedings of the Third International Conference on Case-Based Reasoning, ICCBR-99, Springer-Verlag, Berlin. 15 pages.
Integrating Information Resources: A Case Study of Engineering Design Support
(abstract |pdf | ps.Z)
David B. Leake, Larry Birnbaum, Cameron Marlow, and Hao Yang. Proceedings of the Third International Conference on Case-Based Reasoning, ICCBR-99, Springer-Verlag, Berlin. 15 pages. Selected for the ICCBR-99 Outstanding Application Paper Award.
When Experience is Wrong: Examining CBR for Changing Tasks and Environments.
(abstract | pdf | ps.Z)
David B. Leake and David C. Wilson. Proceedings of the Third International Conference on Case-Based Reasoning, ICCBR-99, Springer-Verlag, Berlin. 15 pages.
Selecting Task-Relevant Sources for Just-in-Time Retrieval
(abstract | pdf | ps.Z)
David B. Leake, Ryan Scherle, Jay Budzik and Kristian Hammond. Proceedings of the AAAI-99 Workshop on Intelligent Information Systems. AAAI Press, Menlo Park, 1999. 5 pages.
Task-Based Knowledge Management.
(abstract | pdf | ps.Z)
David B. Leake, Larry Birnbaum, Cameron Marlow, and Hao Yang. Proceedings of the AAAI-99 Workshop on Exploring Synergies of Knowledge Management and Case-Based Reasoning. AAAI Press, Menlo Park, 1999. 5 pages.
Managing, Mapping, and Manipulating Conceptual Knowledge.
(abstract | pdf | ps.Z )
Alberto Cañas, David B. Leake and David C. Wilson. Proceedings of the AAAI-99 Workshop on Exploring Synergies of of Knowledge Management and Case-Based Reasoning. AAAI Press, Menlo Park, 1999. 5 pages.
Categorizing Case-Base Maintenance: Dimensions and Directions
(abstract | pdf | ps.Z.)
David B. Leake and David C. Wilson. Advances in Case-Based Reasoning: Proceedings of EWCBR-98, Springer-Verlag, Berlin. 13 pages.
Integrating CBR Components within a Case-Based Planner.
David B. Leake and Andrew Kinley. Proceedings of the AAAI-98 Workshop on Case-Based Reasoning Integrations, AAAI Press, San Mateo, 1998. 5 pages.
Combining Reasoning Modes, Levels, and Styles through Internal CBR.
David B. Leake and Andrew Kinley. Proceedings of the 1998 AAAI Spring Symposium on Multimodal Reasoning, AAAI Press, San Mateo, 1998. 6 pages.
Learning to Integrate Multiple Knowledge Sources for Case-Based Reasoning.
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, Morgan Kaufmann, San Francisco, 1997, pp. 674-679. 6 pages.
Case-Based Similarity Assessment: Estimating Adaptability from Experience.
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the Fourteenth National Conference on Artificial Intelligence, AAAI Press, Menlo Park, CA, 1997. 6 pages.
A Case Study of Case-Based CBR.
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the Second International Conference on Case-Based Reasoning, Springer Verlag, Berlin, 1997. 12 pages.
Acquiring Case Adaptation Knowledge: A Hybrid Approach.
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the Thirteenth National Conference on Artificial Intelligence, AAAI Press, Menlo Park, CA, 1996. 6 pages. View abstract only.
Linking Adaptation and Similarity Learning.
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society, Lawrence Erlbaum, 1996. 6 pages. View abstract only.
Multistrategy Learning to Apply Cases for Case-Based Reasoning.
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the Third International Workshop on Multistrategy Learning, AAAI Press, Menlo Park, CA, 1996. 10 pages. View abstract only.
CBR in Context: The Present and Future. (abstract | html | pdf | ps.Z )
David B. Leake. In Leake, D., editor, Case-Based Reasoning: Experiences, Lessons, and Future Directions, AAAI Press/MIT Press, 1996. 35 pages.
Experience, Introspection, and Expertise: Learning to Refine the Case-Based Reasoning Process (pdf | ps).
David B. Leake. Journal of Experimental and Theoretical Artificial Intelligence. 34 pages. View abstract only.
Adaptive Similarity Assessment for Case-Based Explanation.
David B. Leake. International Journal of Expert Systems Research and Applications, 8(2):165-194,1995. 42 pages. View abstract only.
Learning to Improve Case Adaptation by Introspective Reasoning and CBR
(Abstract| pdf)
David B. Leake, Andrew Kinley, and David Wilson. Proceedings of the First International Conference on Case-Based Reasoning, 1995. 13 pages.
Learning to Refine Indexing by Introspective Reasoning.
Susan Fox and David B. Leake. Proceedings of the First International Conference on Case-Based Reasoning, 1995. 10 pages. View abstract only.
Combining Rules and Cases to Learn Case Adaptation. Also in HTML.
David B. Leake. Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, 1995. 6 pages. View abstract only.
Using Introspective Reasoning to Refine Indexing. (pdf | ps).
Susan Fox and David B. Leake. Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence, 1995. 7 pages. In press. View abstract only.
Abduction, Experience, and Goals: A Model of Everyday Abductive Explanation.
David B. Leake. The Journal of Experimental and Theoretical Artificial Intelligence. 7:407-428, 1995. 25 pages. View abstract only.
Towards Goal-Driven Integration of Explanation and Action.
David B. Leake. In Goal-Driven Learning, eds. A. Ram and D. Leake, MIT Press. 23 pages. View abstract only.
Becoming an expert case-based reasoner: Learning to adapt prior cases.
David B. Leake. Invited paper, Proceedings of the Eighth Annual Florida Artificial Intelligence Research Symposium, 1995. 5 pages. View abstract only.
An Architecture for Goal-Driven Explanation.
Raja Sooriamurthi and David B. Leake. Proceedings of the Eighth Annual Florida Artificial Intelligence Research Symposium, 1995. 5 pages. View abstract only.
Combining Case-Based Planning and Introspective Reasoning.
Susan Fox and David B. Leake. Proceedings of the Sixth Midwest Artificial Intelligence and Cognitive Science Conference, 1995. 6 pages. View abstract only.
Modeling Case-based Planning for Repairing Reasoning Failures.
Susan Fox and David B. Leake. Proceedings of the 1995 AAAI Spring Symposium on Representing Mental States and Mechanisms. 8 pages. View abstract only.
Representing Self-Knowledge for Introspection about Memory Search.
David B. Leake. Invited position paper, Proceedings of the 1995 AAAI Spring Symposium on Representing Mental States and Mechanisms. 5 pages. View abstract only.
Introspective Reasoning in a Case-based Planner.
Susan Fox and David B. Leake. Student research abstract. Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994. 1 page. No separate abstract available.
Towards Situated Explanation.
Raja Sooriamurthi and David B. Leake. Student research abstract. Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994. 1 page. No separate abstract available.
Using Introspective Reasoning to Guide Index Refinement in Case-Based Reasoning.
Susan Fox and David B. Leake. Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 1994. 6 pages. View abstract only.
Towards A Computer Model of Memory Search Strategy Learning.
David B. Leake. Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 1994. 6 pages. View abstract only.
A Framework for Goal-Driven Learning.
Ashwin Ram and David B. Leake. Proceedings of the 1994 AAAI Spring Symposium on Goal-Driven Learning, pp. 1-11. No separate abstract available.
Issues in Goal-Driven Explanation.
David B. Leake. Proceedings of the 1994 AAAI Spring Symposium on Goal-Driven Learning, pp. 72-79. View abstract only.
Learning Adaptation Strategies by Introspective Reasoning about Memory Search.
David B. Leake. Proceedings of the AAAI-93 Workshop on Case-Based Reasoning, AAAI Press, Menlo Park, CA, pp. 57-63, 1993. View abstract only.
Goal-Driven Learning: Fundamental Issues (A Symposium Report).
David B. Leake and Ashwin Ram. AI Magazine, 14(4):67-72, 1993. Also appears as Research Report 88 in the Indiana University Cognitive Science Research Report series. View abstract only.
Focusing Construction and Selection of Abductive Hypotheses (pdf | ps.Z).
David B. Leake. Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, 1993, pp. 24-29. View abstract only.
Using Goals and Experience to Guide Abduction.
David B. Leake. Indiana University Computer Science Department Technical Report number 359, July 1992. 33 pages. View abstract only.
Constructive Similarity Assessment: Using Stored Cases to Define New Situations.
David B. Leake. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society, 1992, pp. 313-318. View abstract only.
Goal-based Explanation Evaluation.
David B. Leake. Cognitive Science, 15(4):509-545, 1991. View abstract only.
Types of Explanations.
Alex M. Kass and David B. Leake. Yale University Computer Science Department Technical Report 523, March 1987. Includes the Yale Explanation Corpus.

Dissertations

Case Base Maintenance Beyond Case Deletion
Brian Schack. Ph.D dissertation, Indiana University, 2023. 132 pages.
Robust Adaptation, Machine Learning Driven Adaptation, and Their Implications in Case-Based Reasoning
Xiaomeng Ye. Ph.D dissertation, Indiana University, 2022. 129 pages.
Leveraging Structured Cases: Reasoning from Provenance Cases to Support Authorship of Workflows
Joseph Kendall-Morwick. Ph.D dissertation, Indiana University, 2012. 224 pages.
Looking for a Haystack: Selecting Data Sources in a Distributed Retrieval System (abstract | pdf)
Ryan Scherle. Ph.D dissertation, Indiana University, 2006. 177 pages.
Intelligent Support for Knowledge Capture and Construction (abstract | pdf)
Ana Maguitman. Ph.D dissertation, Indiana University, 2005. 202 pages.
Learning to Improve Case Adaptation (abstract | pdf)
Andrew Kinley. Ph.D dissertation, Indiana University, 2001. 149 pages.
Case-Base Maintenance: The Husbandry of Experience (abstract | pdf)
David C. Wilson. Ph.D dissertation, Indiana University, 2001. 142 pages.
Introspective Learning for Case-Based Reasoning (abstract | pdf)
Susan Fox. Ph.D dissertation, Indiana University, 1995. 270 pages.