Abstract
This paper extends the basic framework of case based reasoning (CBR) to include an evolutionary approach to adaptation. Such an extension allows the CBR system to consider a number of alternatives in parallel rather than forcing it to make a choice about the most appropriate case to process or the best way to modify that case. This results in a system which integrates the efficiency benefits of a CBR system with the flexibility of an evolutionary system, to provide an evolutionary CBR system. The paper illustrates how such a system can be used to solve design problems in a simple civil engineering application.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Baldwin, J. M. 1896. A new factor in evolution, American Naturalist, 30, pp 441–451.
Barrett, R. Ramsey, A. and Sloman, A. 1985. POP11: A Practical Language for Artificial Intelligence, Pub. Ellis Horwood.
Davis, L. (ed). 1991. Handbook of Genetic Algorithms, Pub VanNostrand Reinhold.
Goel, A. 1991. A model-based approach to case adaptation, in Proc. of the 13th Annual Conf. of the Cognitive Science Society. Northvale, NJ: Erlbaum.
Goel, A. 1992. Representation of design functions in experience-based design. In Intelligent Computer Aided Design, D. Brown, M. Waldron and H. Yoshikawa (eds), Amsterdam:North-Holland.
Goel, A. and Chandrasekaran, B. 1992. Case-based design: A task analysis, in AI approaches to engineering design. Vol 2: Innovative design, Ed. C. Tong and D. Sriram, Pub Academic Press.
Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learning, Pub. Addison Wesley.
Hammond, K. 1986. CHEF: A model of case-based planning. In Proc. of AAAI-86, Cambridge MA: AAAI Press/MIT Press.
Holland, J. H. 1975. Adaptation in Natural and Artificial Systems, MIT Press, Cambridge, Mass.
Hua, K. and Faltings, B. 1993. Exploring case-based building design — CADRE, AIEDAM 7(2), pp 135–143.
Hunt, J. E. and Lee, M. H. 1992, Towards a Knowledge-Based Design Assistant, Engineering Applications of Artificial Intelligence, Vol 5, No. 4, pp 275–288.
Hunt, J. E. and Miles, R. G. 1994. Hybrid Case-Based Reasoning, in Knowledge Engineering Review, Vol 9, No. 4, pp 383–397.
Kolodner, J. 1993. Case-Based Reasoning, Pub. Morgan Kaufmann CA.
Maher, M. L. and Zhang, D. M. 1993. CADSYN: A case-based design process model, in AIEDAM, 7(2), pp 97–110.
Navinchandra, D., Sycara, K. P. and Narasimhan, S. 1991. A Transformational Approach to Case-Based Synthesis, AIEDAM, Vol 5(1), pp 31–45.
Rissland, E. L. and Skalak, D. B. 1991. CABARET: Rule Interpretation in a hybrid architecture, IJMMS Vol 34, pp 839–887.
Roderman, S. and Tsatsoulis, C. 1993. PANDA: A case-based system to aid novice designers, AIEDAM 7(2), pp 125–134.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1995 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hunt, J. (1995). Evolutionary case based design. In: Watson, I.D. (eds) Progress in Case-Based Reasoning. UK CBR 1995. Lecture Notes in Computer Science, vol 1020. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60654-8_19
Download citation
DOI: https://doi.org/10.1007/3-540-60654-8_19
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-60654-3
Online ISBN: 978-3-540-48525-4
eBook Packages: Springer Book Archive