operations; the capture of oil drilling problem experiences; sentiment analysis in Amazon product
reviews; and the prediction of teen driving behavior.
The first invited speaker, Tony Veale from University College Dublin, Ireland, spoke about the paradoxical role of reuse in creativity. The second invited
speaker, Frode Sørmo from Verdande Technology,
presented his experiences in applying CBR across different application areas.
In addition to the main conference, this year
ICCBR featured its Sixth Doctoral Consortium, a
workshop program consisting of three workshops,
and the Seventh Computer Cooking Contest. The
Doctoral Consortium was chaired by Rosina Weber of
Drexel University and Nirmalie Wiratunga of the
Robert Gordon University, UK. It gave 14 postgraduate students the important opportunity to discuss
their research ideas and get very valuable feedback.
This year the Doctoral Consortium featured two
invited “career reflection” talks, one by David Wilson
from the University of North Carolina, and the other by David Leake from Indiana University, both of
which included insightful suggestions about research
The conference included three workshops. The
Workshop on Case-Based Agents was organized by
Swaroop Vattam and David W. Aha from the Naval
Research Laboratory, USA. The workshop highlighted
advances in the intersection of autonomous agents
and CBR, including topics such as opportunistic decision making, goal change, and learning by imitation.
The Workshop on Synergies between CBR and Data
Mining was organized by Isabelle Bichindaritz of
SUNY at Oswego, Cindy Marling of Ohio University,
and Stefania Montani of the Università del Piemonte
Orientale in Italy. The papers presented at the workshop exemplified trends of CBR integration with statistical methods, learning algorithms, process mining, text mining, signal mining, and stream mining.
The Workshop on Reasoning About Time in CBR,
organized by Odd Erik Gundersen of Verdande Technology and Stefania Montani of Università del
Piemonte Orientale, considered how to represent and
reason with time in CBR. It began with a keynote,
invited talk by Ashwin Ram of Georgia Tech, revisiting his seminal work with Juan Carlos Santamaria on
continuous CBR. Papers presented at the workshop
dealt with topics including long-term dependence
and concise, symbolic representations of time-series
data. All three workshops engendered lively discussion.
A regular feature of the conference in recent years
has been the Computer Cooking Contest, now in its
seventh year, in which teams compete to produce
computer systems that propose recipes. This has
proven to be a fertile testing ground for new devel-
opments in CBR. Alongside presentations of papers,
this year, two teams went head-to-head to produce
cocktail recipes from a set of starting ingredients. Bar
staff mixed the cocktails and served them to a jury.
The Contest this year was organized by Mirjam
Minor, Goethe University, Germany, and Emmanuel
Nauer, LORIA, France.
The conference organizers want to thank the con-
ference sponsors, the Artificial Intelligence Journal, the
Department of Computer Science at University Col-
lege Cork, Empolis, Fáilte Ireland, Knexus Research
Corporation, and Verdande Technology. They also
want to acknowledge the support of AAAI and the
Cork Convention Bureau.
The conference chair was Derek Bridge of the
Insight Centre for Data Analytics at University College Cork, Ireland. The program chairs were Luc Lamontagne of Université Laval, Quebec, Canada, and
Enric Plaza of IIIA, Artificial Intelligence Research
Institute CSIC, Barcelona.
Derek Bridge is a senior lecturer in the Department of Computer Science at University College Cork and a member of
the Insight Centre for Data Analytics, in which he leads the
Recommender Systems research strand. His Ph.D. from the
University of Cambridge was in the area of computational
linguistics. His subsequent research has covered topics such
as machine learning of natural language grammars; analyses of case-based learning; similarity measures, retrieval
algorithms, and maintenance algorithms for case-based reasoning; conversational recommender systems; and explanations in both case-based reasoning and recommender systems.
Luc Lamontagne is a professor in the Department of Computer Science and Software Engineering at Université Laval.
His Ph.D. from Université de Montréal pertained to case-based reasoning and computational linguistics. After completing his Ph.D., he worked on command and control systems as a research scientist for the Canadian Department of
National Defence. His current research interests include textual CBR, learning similarity measures, reasoning with
sequential cases, question-answering systems, virtual assistants, and statistical approaches to natural language processing.
Enric Plaza holds the position of research professor at the
IIIA-CSIC (Artificial Intelligence Institute of the Spanish
Council for Scientific Research), which he joined in 1988,
where he is currently head of the Learning Systems Department (LSD). He has held the title of engineer in computer
science at the Technical University of Catalonia (UPC) since
1984 and earned his Ph.D. in artificial intelligence by UPC
in 1987. His research has spanned different areas of AI,
including knowledge acquisition and validation for expert
systems, case-based reasoning, machine learning, and multiagent systems. His research is now focused on new techniques for case-based reasoning, learning in the framework
of multiagent systems, and argumentation.