A selected
set of papers related to case-based reasoning in some way combined with general domain knowledge and other method components will be discussed.
The actual focus will to some
extent depend on the project and interests of the students taking the course.
It is assumed that the students have a background in CBR corresponding to the CBR part of the ML+CBR course (TDT4173).
This means that all participants should - at least - make themselves familiar with the following set of papers before the course starts:
A. Aamodt and E. Plaza, 1994: Case-based reasoning; Foundational issues, methodological variations, and system approaches. AI Communications, 7(1), pgs. 39-59.
D. Aha, 1991: Case-based learning algorithms. Proceedings of the 1991 DARPA Case-Based Reasoning Workshop. Morgan Kaufmann.
B. Porter, R. Bareiss, R. Holte: Concept learning and heuristic classification in weak theory domains. Artificial Intelligence. Vol. 45, no.1-2, September 1990, pp. 229-263.
A. Aamodt: Knowledge-intensive
case-based reasoning in Creek. ECCBR 2004. LNAI 3155, Spinger, 2004. pgs. 1-16.
Course structure
We will have five meetings
to discuss the set of course papers. The papers will constitute the course "pensum".
The students are assumed to work with
the topics of the respective papers in between the meetings, and to browse the
Internet or use other sources to fill in missing details. The students are also
encouraged to arrange group meetings among themselves between the scheduled meetings. Each paper
will be presented for discussion by two students, who summarize it, point out particular scientific
issues of interest, research evaluation method applied (if any), and strong and
weak points of the papers. All students have to read the papers addressed before each meeting and
prepare for the discussions.
List of papers, and seminar plan:
Please read, or refresh your knowledge of, the above four papers.
Seminar 4, Other applications - Tor 27/10, 14:15 - 16:00
Seminar 5, Explanations and ontologies - Tor 10/11, 14:15 - 16:00
A good general Web-link for
all types of AI issues is AAAI's AI Topics pages.
It has a lot of subpages, also related to our theme. Take a look at the
Case-Based Reasoning page, for example. You find it under Machine Learning.
NTNU-IDI, September 2011.
Agnar Aamodt.