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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 35
DEVELOPMENTS IN ARTIFICIAL INTELLIGENCE FOR CIVIL AND STRUCTURAL ENGINEERING Edited by: B.H.V. Topping
Paper XII.1
Learning Retrieval Strategies from Examples in a CBD System B. Raphael and B. Kumar
Department of Civil Engineering, University of Strathclyde, Glasgow, UK B. Raphael, B. Kumar, "Learning Retrieval Strategies from Examples in a CBD System", in B.H.V. Topping, (Editor), "Developments in Artificial Intelligence for Civil and Structural Engineering", Civil-Comp Press, Edinburgh, UK, pp 219-229, 1995. doi:10.4203/ccp.35.12.1
Abstract
The retrieval mechanism in a Case Based Reasoning system
ensures that the relevant cases are retrieved for the given
problem. This paper briefly discusses some of the
conventional approaches to retrieval. An unconventional
retrieval mechanism is presented which involves learning
retrieval strategies using examples of retrieval. The training
examples or retrieval cases, enable the case based design
system to adapt its retrieval procedures from experiences
gathered from design sessions. The data structures required
for representing retrieval examples are presented in the
paper. A description of the prototype system called
CADREM, is also given in the paper. CADREM is a case-based
design system for the conceptual structural design of
buildings. Illustrations from CADREM bring out the
advantages of the new approach to retrieval.
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