Sanibel Island
Florida, USA
May 19-21, 2009
In cooperation with The Association for the Advancement of Artificial Intelligence (AAAI)
Following successful special tracks on Case-Based Reasoning at FLAIRS over the past seven years, we are inviting papers for the Ninth Special Track on CBR at the 22st International FLAIRS Conference. CBR is an Artificial Intelligence problem solving and analysis methodology that retrieves and adapts previous experiences to fit new contexts. This forum is intended to gather AI researchers and practitioners with an interest in CBR to present and discuss developments in CBR theory and application.
Submissions are solicited on CBR topics, including but not limited to:
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Department of Computer Science University of Auckland Auckland, New Zealand ian @ cs.auckland.ac.nz |
Cognitive Computing Lab Georgia Institute of Technology Atlanta (Georgia) 30318 santi @ cc.gatech.edu |
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Paper submissions due: 23 November 2008
Notification letters sent: 26th January 2009
Camera ready copy due (to AAAI): 23rd February 2009
Track: (during conference exact date to be determined)
Interested authors must submit completed manuscripts by 23 November 2008. Submission guidelines can be obtained by referring to the conference website (http://www.flairs-22.info/). Papers will be refereed and those accepted for presentation will appear in the conference proceedings, which will be published by AAAI press.
Questions regarding the track should be addressed to Ian Watson and Santiago Ontañón.
Ashok Goel
Talk Title: Multimodal Case-Based Reasoning
Much research on case-based reasoning has focused on conceptual and causal knowledge of past experiences, though there also has been some research on visual case-based reasoning. There are many tasks, however, that require multimodal case-based reasoning. Understanding sketches, drawings and diagrams is an example of such a task; causality in a drawing, for example, is, at most, implicit. Addressing such tasks requires a new scheme for case representation and organization, one that enables case-based inferences about causality from visuospatial representations.
In this talk, I will describe a computational technique for understanding engineering drawings by constructing a teleological model of the target drawing by analogy to the model of a known drawing. Knowledge of the source case is organized in a multimodal schema that contains the source drawing and its teleological model represented at multiple levels of abstraction: the lines and intersections in the drawing, the shapes, the structural components and connections, the causal interactions and processes, and the function of the system depicted in the drawing. Given a target drawing and a relevant source case, our technique of compositional analogy first constructs a representation of the lines and the intersections in the target drawing, then uses the mappings at the level of line intersections to transfer the shape representations from the source case to the target, next uses the mappings at the level of shapes to transfer the full teleological model of the depicted system from the source to the target. The Archytas computer system implements this multimodal case representation and the technique for understanding drawings by construction of teleological models by compositional analogy.
Ashok K. Goel is an Associate Professor of Computer Science in the School of Interactive Computing at Georgia Institute of Technology. He is Director of the School’s Design Intelligence Laboratory, and a Co-Director of the Institute’s Center for Biologically Inspired Design. He has pioneered research on interactive case-based design, integrating case-based and model-based reasoning, visual case-based reasoning, and meta-case-based reasoning. Ashok serves on the editorial boards of the Journal of Experimental and Theoretical Artificial Intelligence, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, and Advanced Engineering Informatics. He is a member of the Program Committees of the Eighth International Conference on Case-Based Reasoning (ICCBR-09) and the IJCAI-09 Workshop on Grand Challenges in Reasoning from Experience. Additional information about Ashok can be found at http://home.cc.gatech.edu/dil/3.
last updated 2/4/2009