| authors |
Oxman, R.E. |
| year |
2000 |
| title |
Visual Reasoning in Case-Based Design |
| source |
AID’00 Workshop, Worcester (Mass.) |
| summary |
The interest in CBR as a relevant paradigm for design has led to a series of successful AID workshops over the last few years. Most of these workshops were focused on traditional issues and topics in CBR such as indexing, retrieval, and adaptation. Despite the long-term effort to establish the theoretical foundations for CBR in design, we have yet to achieve the promise of this affinity (CBR and Design). Though there is a general consensus of the cognitive significance of CBR to design and general optimism regarding the promise of CBR technologies for the advancement of design systems, we have yet to realize this potential. In order to strengthen the field in design it appears that additional theoretical efforts are needed in the following two directions. First, we must re-consider the complexity of design and design reasoning as it relates to CBR. One possible direction for future exploration is to view CBR as part of the complex, hybrid reasoning processes in design. This can be done by the integration of other significant cognitive aspects of design which are investigated in relevant fields in AI. Visual reasoning is a fundamental attribute of design, and therefor combining these two research areas may provide significant results for the field. The second direction is to investigate the possible integration of CBR paradigms and techniques with existing computational technologies, including CAD, and electronic media. These two subjects are the main objectives of the workshop. The first section of the workshop will focus on Re-formulating Theoretical Foundations for CBR in Design; within this part of the workshop it is proposed that special emphasis be placed upon Visual Reasoning and Case-Based Design The second part of the workshop will discuss the applicative implications of these re-formulations. The workshop aims to bring together researchers who work on visual and case-based reasoning. It aims to provide a forum for intensive interaction among researchers in these areas. We expect that a diverse background of participants (from AI as well as related cognitive and design domains) will lead to a rich and lively exchange of points of view and will contribute to the identification of significant research issues. |
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other |
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| last changed |
2003/04/23 15:14 |
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