A Model-Based Approach to Blame-Assignment in Design

Stroulia, Eleni; Shankar, M. Gowri; Goel, Ashok K.; Penberthy, L.

doi:10.1007/978-94-011-2787-5_26

Cited by 17 publications

(6 citation statements)

References 6 publications

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“…ASKJEF (Barber et al, 1992) integrates case-based reasoning with multimedia technologies in order to support software engineers in designing interfaces. KRITIC and its successor KRITIC2 (Stroulia, Shanker, Goel, & Penberthy, 1992) combine model-based with case-based reasoning for the design of small mechanical assemblies. PANDA (Roderman & Tsatlouis, 1993) is a case-based system that aids novice designers in the domain of fire engines.…”

Section: State Of the Artmentioning

confidence: 99%

Case-DeSC: A system for case-based design with soft computing techniques

Saridakis

Dentsoras

2007

Expert Systems with Applications

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Section: State Of the Artmentioning

confidence: 99%

Case-DeSC: A system for case-based design with soft computing techniques

Saridakis

Dentsoras

2007

Expert Systems with Applications

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“…CBR techniques have proven useful in implementing intelligent software components, and CBR systems have been deployed successfully for many t ypes of tasks: for electronic commerce e.g., Watson 1997;Stolpmann and Wess 1998;Vollrath et al 1998 ; for decision support applications, such as help desks e.g., G oker and Roth-Berghofer 1999; Lenz et al 1999 ; for planning tasks, such as design and con guration e.g., Navinchandra 1988;Sycara and Navinchandra 1989;Stroulia et al 1992;Hennessy and Hinkle 1992;Domeshek et al 1994b ; and for classi cation tasks, such as diagnosis, prediction, and assessment Koton 1989; Bareiss 1989 .…”

Section: Cbr In Practicementioning

confidence: 99%

Case‐Base Maintenance

Pal

Shiu

2004

Foundations of Soft Case‐Based Reasoning

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So very many people have touched my life over the course of this odyssey. For those that may escape mention here|a dissertation in itself|I have made the last to be rst, and I perhaps owe you a drink.Resounding thanks and a c horus of gratitude to my advisor, David Leake, for all of his support, guidance, and encouragement. David has always been available with a cheerful word, whether dispensing encyclopedic knowledge about relevant people and research, providing constructive criticism, wrestling with the deep and fundamental mysteries of CBR, or simply chatting away. He has done his best to keep me out of trouble for the better part of a decade.I also want to thank the members of my committee, Mike Gasser, Randy Bramley, and Dirk Van Gucht. I very much appreciate their perspective, assistance, advice, and support.I would like to thank the host of Arti cial Intelligence, Cognitive Science, and especially CRANIUM lab members for their helpful ideas, for their support and wisdom, and for the use of their books. They made the lab a comfortable home away from home. Lab members have included:

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“…It also has some simple learning capabilities, since it extends its path memory by storing the result of each new problem-solving episode. KRITIK2 is an adaptive design system (Stroulia, Shankar, Goel & Penberthy, 1992;. KRITIK2, like ROUTER, has multiple types of knowledge about its domain, including an episodic memory of cases of known devices, models which explain the functioning of these devices, and semantic knowledge of the substances and the components that are available in its technological environment.…”

Section: Initial Exploratory Experimentsmentioning

confidence: 99%