Call for Papers || Schedule || Papers || Description || Participation || Invited Speakers || Submission || Dates || Organizing Committee || Program Committee

Computational Analogy Workshop at ICCBR-16

Schedule - Monday, October 31st, 2016

8:55-9:00: Joseph Blass & Tesca Fitzgerald: Welcome
9:00-9:45: Dr. Ashok Goel: Invited Talk 1
9:45-11:05: Session 1: Formal Analogy
9:45-10:05: Langlais, P.: Efficient Identification of Formal Analogies
10:05-10:25: Fam, R. & Lepage, Y.: Morphological Predictability of Unseen Words using Computational Analogy
10:25-10:45: Letard, V., Illouz, G., & Rosset, S.: Reducing Noise Sensitivity of Formal Analogical Reasoning applied to Language Transfer
10:45-11:05: Kaveeta, V. & Lepage, Y.: Solving Analogical Equations Between Strings of Symbols Using Neural Networks
11:05-11:25: Break
11:25-12:25: Session 2: Analogy for Design
11:25-11:45: Chan, J., Hope, T., Shahaf, D., & Kittur, A.: Scaling up Analogy with Crowdsourcing and Machine Learning
11:45-12:05: Cvitanic, T., Lee, B., Song, H. I., Fu, K., & Rosen, D: LDA v. LSA: A Comparison of Two Computational Text Analysis Tools for the Functional Categorization of Patents
12:05-12:25: Turner, C. J. & Linsey, J.: Analogies from Function, Flow and Performance Metrics
12:25-1:45: Lunch
1:45-2:30: Dr. Kenneth Forbus: Invited Talk 2
2:30-4:10: Session 3: Adaptation & Abstraction
2:30-2:50: Fitzgerald, T., Thomaz, A., & Goel, A: Abstraction for Analogical Reasoning in Robotic Agents
2:50-3:10: Badra, F.: Elements of a Data-Driven Approach to Adaptation
3:10-3:30: Break
3:30-3:50: Blass, J.A. & Forbus, K. D.: Natural Language Instruction for Analogical Reasoning: An Initial Report
3:50-4:10: Zeller, C. & Schmid, U.: Automatic Generation of Analogous Problems to Help Resolving Misconceptions in an Intelligent Tutor System for Written Subtraction
4:15-5:00: Panel discussion: the Future of Computational Analogy
5:00: Closing words

Accepted papers

Badra, F.: Elements of a Data-Driven Approach to Adaptation
Blass, J.A. & Forbus, K. D.: Natural Language Instruction for Analogical Reasoning: An Initial Report
Chan, J., Hope, T., Shahaf, D., & Kittur, A.: Scaling up Analogy with Crowdsourcing and Machine Learning
Cvitanic, T., Lee, B., Song, H. I., Fu, K., & Rosen, D: LDA v. LSA: A Comparison of Two Computational Text Analysis Tools for the Functional Categorization of Patents
Fam, R. & Lepage, Y.: Morphological Predictability of Unseen Words using Computational Analogy
Fitzgerald, T., Thomaz, A., & Goel, A: Abstraction for Analogical Reasoning in Robotic Agents
Kaveeta, V. & Lepage, Y.: Solving Analogical Equations Between Strings of Symbols Using Neural Networks
Langlais, P.: Efficient Identification of Formal Analogies
Letard, V., Illouz, G., & Rosset, S.: Reducing Noise Sensitivity of Formal Analogical Reasoning applied to Language Transfer
Turner, C. J. & Linsey, J.: Analogies from Function, Flow and Performance Metrics
Zeller, C. & Schmid, U.: Automatic Generation of Analogous Problems to Help Resolving Misconceptions in an Intelligent Tutor System for Written Subtraction

Description

Computational Analogy and Case-Based Reasoning (CBR) are closely related research areas. Both employ prior cases to reason in complex situations with incomplete information. Analogy research often focuses on modeling human cognitive processes, the structural alignment between a base/source and target, and adaptation/abstraction of the analogical source content. While CBR research also deals with alignment and adaptation, the field tends to focus more on retrieval, case-base maintenance, and pragmatic solutions to real-world problems. However, despite their obvious overlap in research goals and approaches, cross communication and collaboration between these areas has been progressively diminishing. CBR and Analogy researchers stand to benefit greatly from increased exposure to each other's work and greater cross-pollination of ideas. The objective of this workshop is to promote such communication by bringing together researchers from the two areas, to foster new collaborative endeavors, to stimulate new ideas and avoid reinventing old ones. In addition to presentations of accepted papers, the workshop will feature invited talks from Dr. Ashok Goel (GATech) and Dr. Ken Forbus (Northwestern University).

Topics of interest include, but are not limited to:

  • General analogical reasoning techniques
    • Adaptation
    • Alignment-based explanation/evaluation
    • Analogical distance
    • Analogical proportions in formal concept analysis
    • Analogical proportions in mathematical structures
    • Analogy in numerical settings
    • Compound analogy
    • Constructing alignments and mappings
    • Feature-based models of analogy and analogical reasoning
    • Logic-based models of analogy and analogical reasoning
    • Modality of representation of case/analogical source
    • The role of expertise in analogical reasoning
    • Segmenting and constructing cases for alignment
    • Solution-based vs. Problem-based approaches
    • Structural models of analogy and analogical reasoning
    • Types of analogical transfer/mapping
  • Analogical retrieval
    • Data mining techniques
    • Data sources for cases/analogies
    • Feature-based vs. structural retrieval
    • Indexing
    • Repository-based approaches
  • Analogical generalization
    • Analogical abstraction
    • CBR and Analogy using generalizations or schemas
    • Constructing generalizations
    • Cross-discipline translation of concepts/vocabulary
  • Applications: Computational Analogy for...
    • Cognitive Modeling
    • Computational Creativity
    • Computational Design
    • Decision-making for robotics or virtual agents
    • Knowledge capture
  • Frontiers in Computational Analogy
    • Assessing models of Computational Analogy
    • Connections to Professional Practice in Engineering and Design
    • Hybrid models
    • Theoretical foundations of Computational Analogy

The call for papers can be found here.

Participation

The workshop will be held on October 31st, 2016, as part of the ICCBR 2016 workshop series in Atlanta, Georgia. The workshop is open to all interested conference participants, though available space may set an upper limit on attendance. We encourage those who do not want to submit a paper to attend, as one of the primary goals of the workshop is to foster greater communication and cross-pollination of ideas amongst Computational Analogy and CBR researchers.

We welcome longer submissions (up to 10 pages), as well as shorter submissions for work in progress or position papers. The Program Committee will select amongst the submitted papers for oral presentation and/or poster presentation. In addition, Dr. Ashok Goel of Georgia Tech and Dr. Ken Forbus of Northwestern University, senior members of the Computational Analogy research community, will discuss their work and how it relates to the larger field of CBR. There will be a panel discussion of the shared future of Computational Analogy and Case-Based Reasoning, and how to achieve that future.

For specific questions, please contact co-chair Joseph Blass.

Invited Speakers

Dr. Ashok K. Goel is a Professor of Computer Science and Cognitive Science in the School of Interactive Computing at Georgia Institute of Technology. He is Director of the School's Ph.D. Program in Human-Centered Computing, Coordinator of the faculty consortium on Creativity, Learning & Cognition, and Co-Coordinator of the faculty consortium on Interactive Intelligence. He is Director of the School's Design & Intelligence Laboratory and a Co-Director of Georgia Tech's Center for Biologically Inspired Design. He is affiliated with the GVU Center, the Institute for People and Technology, the Institute for Robotics and Intelligent Machines, the Center for 21st Century Universities, and the Health Systems Institute.

Ashok conducts research into human-centered computing, artificial intelligence and cognitive science, with a focus on computational design, discovery, and creativity. The goals of his research are to understand human creativity in conceptual design of complex systems as well as scientific problem solving, to develop interactive tools for aiding people in such creative tasks, and to invent computational systems that are themselves creative. His research explores analogical thinking, systems thinking, visual thinking, and meta-thinking as fundamental processes of design, discovery and creativity. His current projects investigate analogical thinking and systems thinking in biologically inspired engineering design, visual thinking on intelligence tests, and meta-thinking in game-playing agents. Related project focuse on systems thinking and meta-thinking in learning about ecological systems, and analogical thinking and systems thinking in learning about biologically inspired design.

Dr. Kenneth D. Forbus is the Walter P. Murphy Professor of Computer Science and Professor of Education at Northwestern University. He received his degrees from MIT (Ph.D. in 1984). His research interests include qualitative reasoning, analogical reasoning and learning, spatial reasoning, sketch understanding, natural language understanding, cognitive architecture, reasoning system design, intelligent educational software, and the use of AI in interactive entertainment. He is a Fellow of the Association for the Advancement of Artificial Intelligence, the Cognitive Science Society, and the Association for Computing Machinery. He has received Humboldt Award and has served as Chair of the Cognitive Science Society.

Submission

Paper submissions should be formatted according to the ICCBR 2016 Conference instructions (using the Springer LNCS formatting guidelines). The following submissions are accepted:

  • Full papers: maximum 10 pages in length
  • Short papers (preliminary work): maximum 5 pages in length
  • Position papers: maximum 5 pages in length

All papers will be reviewed by qualified reviewers drawn from our Workshop's Program Committee.

Please submit papers through the workshop's EasyChair submission site.

Important Dates

    NOTE: Dates are subject to change.
  • August 1st, 2016: Workshop paper submission deadline
  • August 22nd, 2016: Acceptance decisions announced
  • August 29th, 2016: Camera-ready submission due
  • October 31st, 2016: Workshop (Atlanta, Georgia, USA)

Organizing Committee

Program Committee

  • Fadi Badra, Université Paris 13, France
  • Tarek Besold, Free University of Bozen-Bolzano, Italy
  • Mark Burstein, SIFT, USA
  • Hernan Casakin, Ariel University, Israel
  • Amaresh Chakrabarti, Indian Institute of Science, India
  • Joel Chan, Carnegie Mellon University, USA
  • William Correa, IRISA, France
  • Mark Finlayson, Florida International University, USA
  • Scott Friedman, SIFT, USA
  • Bipin Indurkhya, Jagiellonian University, Poland
  • Mark Keane, University College Dublin, Ireland
  • Kai-Uwe Kuehnberger, University of Osnabruck, Germany
  • Phillippe Langlais, University of Montreal, Canada
  • Yves Lepage, Waseda University, Japan
  • Ramon Lopez de Mantaras, IIIA, Spain
  • Abhijit Mahabal, Google Inc., USA
  • Art Markman, University of Texas, Austin, USA
  • Clifton McFate, Northwestern University, USA
  • Melanie Mitchell, Portland State University, USA
  • Jacquelyn Nagel, James Madison University, USA
  • Gilles Richard, IRIT, France
  • Emmanuel Sander, Université Paris 8, France
  • Steven Schockaert, Cardiff University, UK
  • Christian Schunn, University of Pittsburgh, USA
  • Ute Schmid, University of Bamberg, Germany
  • Bryan Wiltgen, IBM, USA
  • Patrick Winston, MIT, USA
  • François Yvon, LIMSI, France