This workshop brought together researchers who
use a variety of analogical reasoning approaches
together with researchers in CBR. The workshop
included 11 papers representing a range of computa-
tional analogy research methods and topics, includ-
ing corpus mining for analogies, analogical propor-
tions, analogy for natural language processing,
design by analogy, analogy tutors, and instruction for
analogical agents. Two invited talks set the stage for
discussing the intersection of analogy and CBR.
Ashok Goel (Georgia Institute of Technology) dis-
cussed the role of computational analogy in the
domains of biologically inspired design, visual think-
ing, and cognitive robotics. Ken Forbus (Northwest-
ern University) discussed applications of analogical
reasoning in qualitative and commonsense reason-
ing and cognitive architectures.
Three major themes ran through the rest of the
workshop: formal analogy, adaptation and abstraction, and design by analogy. Four papers dealt with
formal (symbol-string) analogies. These papers examined how to predict the morphology of rare words,
predict unseen words in text translation, solve symbol-string analogical equations, and translate natural
language input to bash commands.
The design-by-analogy session discussed the use
and development of systems that identify similar
designs from a database. Three presenters discussed
using crowdsourcing to construct a relational data
set, using latent semantic analysis and latent Dirichlet analysis to categorize patents into meaningful
groups, and abstracting design functions and flows to
identify similar designs in a database.
Adaptation and abstraction enable learning and
case reuse in new domains. Presentations in this final
session discussed both a data-driven approach and
several system approaches to case adaptation. Sys-tem-based contributions included using natural language to bootstrap commonsense reasoning by analogy, generalizing task knowledge in a robotic agent to
improve knowledge reuse, and a cognitive tutor that
reasons over a student’s misconceptions to provide
problems designed to overcome student misconceptions.
The workshop concluded with a panel discussion
about the future directions of computational analogy. Panelists included Ken Forbus (Northwestern University), Katherine Fu (Georgia Institute of Technology), Ashok Goel (Georgia Institute of Technology),
Philippe Langlais (University of Montreal), and Santiago Ontañón (Drexel University). A central topic of
this discussion was the role of computational analogy with respect to the greater AI community, including which problems are best addressed through computational analogy approaches, and which are better
suited by a combination of strategies (such as integration with statistical methods or formal methods).
This discussion continued at the 2017 iteration of the
ICCBR workshop held in Trondheim, Norway.
Joseph Blass is a JD, PhD candidate in the Cognitive Systems Division of the Department of Electrical Engineering
and Computer Scienc, and the Pritzker School of Law at
Tesca Fitzgerald is a PhD candidate in the School of Interactive Computing at the Georgia Institute of Technology.
The Twelfth International AAAI Conference on Web and
Social Media (ICWSM) will be held June 25-28, 2018 at
Stanford University in Palo Alto, California USA. Tentative
dates for abstract and paper submission are February 9 and
15, respectively. For complete details, please see: