Case-Based Reasoning: Premises, Projects, and Promise
David B. Leake
Computer Science Department -Indiana University-
Monday 7 June 2004 at 11:30 AM
Salle 3195, Pavillon André-Aisenstadt
Case-based reasoning (CBR) has become an established part of artificial intelligence, both as a means for addressing fundamental AI problems and as a basis for fielded AI technology. This talk delineates the fundamental principles of CBR, examines how it is applied, and provides a synopsis of key needs for the next generation of CBR systems. It first presents an overview of the case-based reasoning process, clarifying the relationship of CBR to other AI methods, the motivations for the case-based approach, and fundamental issues for CBR methods. It illustrates this discussion with examples of CBR systems that reason and learn in multiple task domains. It closes with lessons learned from CBR research and applications, current challenges for case-based reasoning, and opportunities for the next generation of CBR systems and the future impact of CBR.
To receive weekly talk announcements, please send an e-mail to firstname.lastname@example.org. Simply write a message containing the single line 'subscribe ralli' (without the quotes).
See all the weekly talks for the year:1991 1992 1993 1994 1995 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021