- Hypothesis Formation and Testing in Legal Argument12 Kevin D. Ashley
- ICAIL 2009 Copyright Kevin D. Ashley. 2009 1 Ontological Requirements for Analogical,
- Computational Thinking for Lawyers Kevin D. Ashley
- What Went Wrong & Why Workshop AAAI 2008 Kevin D. Ashley. 2008 1 in Teaching Argumentation with Computers
- ArtificialIntelligence and Law 1:113-208, 1992. 113 1992 Kluwer Academic Publishers. Printed in the Netherlands.
- Cognitive Area Brown Bag Series 2005 Kevin D. Ashley. 2005 Hypothesis formation and testing in
- Predicting Outcomes of Case-based Legal Arguments Stefanie Bruninghaus and Kevin D. Ashley
- ICAIL 2009 Case Modeling Workshop Copyright Kevin D. Ashley. 2009 1 Toward Modeling Analogical, Teleological, and
- ICAIL-2005 Intro to AI and Law Tutorial Copyright 2005. Kevin D. Ashley An Introduction to Artificial Intelligence and Law
- Designing Intelligent Tutoring Systems for Ill-Defined Domains
- ICCBR 2009 Copyright Kevin D. Ashley. 2009 1 Toward Modeling and Teaching Legal
- FLAIRS ITS 2008 Kevin D. Ashley. 2008 1 Some Thoughts on Using Computers to
- Cognitive Area Brown Bag Series 2005 Kevin D. Ashley. 2005 Hypothesis formation and testing in
- ICAIL 2009 Copyright Kevin D. Ashley. 2009 1 Toward Assessing Law Students' Argument
- Position Paper for AAAI 2006 Fellows Symposium Kevin D. Ashley, University of Pittsburgh
- Int. J. Man-Machine Studies (1991) 34, 753-7% Reasoning with cases and hypotheticals in HYPO
- A Predictive Role for Intermediate Legal Kevin D. Ashley and Stefanie Bruninghaus
- Case-Based Models of Legal Reasoning in a Civil Law Context
- ICAIL 2009 DESI III Workshop Copyright Kevin D. Ashley. 2009 1 Session 3: Position Papers (14:30 16:00)
- FLAIRS 2009 Copyright Kevin D. Ashley. 2009 1 What a Legal CBR Ontology
- Connecting Hypothesis-testing to Legal Kevin D. Ashley
- Subtech 2008 Kevin D. Ashley. 2008 1 LARGO, an ITS for Teaching
- Journal of Moral Education, Vol. 30, No. 4, 2001 Case-based Approaches to
