An introduction to case-based reasoning

Kolodner, Janet L.

doi:10.1007/bf00155578

Cited by 724 publications

(340 citation statements)

References 8 publications

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“…In particular, these scholars examined the ways that students leverage similarities between a prior problem, or solution, and the current problem, in order to formulate a solution. Foundational work by Gick & Holyoak (1980, 1983 coined the term ''analogical problem solving,'' and influenced several later instantiations of analogical problem solving (e.g., case-based reasoning (Kolodner, 1992) and learning-by-analogy (Carbonell, 1982;Gentner & Holyoak, 1997)). The initial research on analogical problem solving was based on problem solving scenarios in which participants were provided with a story whose essence could be used to solve a target problem.…”

Section: Analogical Problem Solvingmentioning

confidence: 99%

Reasoning Strategies in the Context of Engineering Design with Everyday Materials

Worsley¹,

Blikstein

2017

Journal of Pre-College Engineering Education Research (J-PEER)

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Abstract''Making'' represents an increasingly popular label for describing a form of engineering design. While making is growing in popularity, there are still open questions about the strategies that students are using in these activities. Assessing and improving learning in making/ engineering design contexts require that we have a better understanding of where students' ideas are coming from and a better way to characterize student progress in open-ended learning environments. In this article, we use a qualitative analysis of students' responses (N 5 13) in order to identify the origins of their ideas. Four strategies emerged from this analysis: unexplained reasoning; materials-based reasoning; example-based reasoning; and principle-based reasoning. We examine key characteristics of each strategy and how each strategy relates to learning and expertise through in-depth case studies. Furthermore, we identify how these four strategies are a complement to prior work on analogical problem solving and creativity, and offer a number of unique contributions that are particularly relevant for engineering education. Finally, we include two coding schemes that can be used to classify students' responses. Studying reasoning strategies in this way is a fruitful means for characterizing student learning in complex learning environments. Moreover, understanding reasoning strategies impacts the nature of student-teacher discussions and informs how to help students progress most effectively.

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Section: Analogical Problem Solvingmentioning

confidence: 99%

Reasoning Strategies in the Context of Engineering Design with Everyday Materials

Worsley¹,

Blikstein

2017

Journal of Pre-College Engineering Education Research (J-PEER)

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“…[49,50] consists of indexing, representing, and organizing the previous design cases in a case library so that they can be recalled, modified, and reused for future design scenarios. Fundamentally, when encountering a new design problem, the CBR technique identifies a prior case, which best matches the present requirement of design.…”

Section: Case Based Reasoningmentioning

confidence: 99%

Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Hashemi

Shaharoun

Izman

et al. 2014

Advances in Mechanical Engineering

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Fixture design is an important issue in the process of manufacturing. As a critical design activity process, automation in fixture design plays an integral role in linking computer aided designs and computer aided manufacturing. This paper carries out a literature review of computer aided fixture design (CAFD) developments using intelligent methods that have been commonly utilized in automation in the last two decades. The first part of this review considers the steps of fixture design along with the significant researches and requirements of fixtures over time. After that, the paper presents important and relevant research carried out in the field of CAFD using intelligent approaches and the working principles surrounding this issue. The following section concentrates on the details of case based reasoning (CBR) approach, the most successful approach in CAFD. The examination of this approach is carried out based on applications, stages of CBR based systems fixture design, working principles, and pertinent proposed approaches. Lastly, the present drawbacks of the current methods and shortfalls in research are identified for future studies.

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“…Concretely, the transformation rules are established often a posteriori, by abstracting and formalising some procedures empirically found in order to solve particular "cases". This is why we plan to introduce, in a more complete version of the prototype, the possibility of having recourse to CaseBased Reasoning techniques, see (Kolodner 1992), (Wess, Althoff & Richter 1994), etc. Given that the "rules", when they exist, are normally considered of a more economic use than "cases", we would like to use the CBR procedures not only for providing the users with a sophisticated and up-todate problem-solving modality, but also, at the same time, for blazing a trail toward the creation of a practical set of transformation rules to be stored in the rule base, and which will subsume all the different concrete cases used empirically to set up an useful solution.…”

Section: An Example Of High-level Inference Proceduresmentioning

confidence: 99%

Building up and making use of corporate knowledge repositories

Zarri

Azzam

1997

Knowledge Acquisition, Modeling and Management

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In this paper, we present a methodology for the construction and use of corporate knowledge repositories. We consider here only the "textual component" of corporate knowledge --i.e., all sort of economically valuable, natural language (NL) documents like news stories, telex reports, internal documentation, normative texts, intelligence messages, etc. In this case, we suggest that the construction of effectively usable corporate knowledge repositories can be achieved with the translation of the original documents into some type of conceptual format. The "metadocuments" obtained in this way can then be stored into a knowledge repository (knowledge base) and, given their role of advanced document models, all the traditional functions of information retrieval, (searching, retrieving and producing an answer) can be directly executed on them. We illustrate here the architecture of a prototypical, implemented system used to exploit a knowledge repository of metadocuments.

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An introduction to case-based reasoning

Cited by 724 publications

References 8 publications

Reasoning Strategies in the Context of Engineering Design with Everyday Materials

Reasoning Strategies in the Context of Engineering Design with Everyday Materials

Recent Developments on Computer Aided Fixture Design: Case Based Reasoning Approaches

Building up and making use of corporate knowledge repositories

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