Innovation in Analogical Design: A Model-Based Approach

Bhatta, Sambasiva R.; Goel, Ashok K.; Prabhakar, Salil

doi:10.1007/978-94-011-0928-4_4

Cited by 55 publications

(37 citation statements)

References 14 publications

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“…In this study, a 3-dimensional 5-level assessment scheme was used to assess students' integrative learning in a design project related to ECG recording device and its biomedical applications. Our scheme is derived from the structure-behavior-function (SBF) framework by Geol et al [5]- [6] and the scale for constructive learning by Chan et al [7]. The SBF framework was extensively applied by educational researchers to examine the differences between experts and novices, for example, in their knowledge about complex systems [8]- [9].…”

Section: Introductionmentioning

confidence: 99%

Assessing students' integrative learning in biomedical engineering from the perspectives of structure, behavior, and function

Chan

2010

2010 IEEE Frontiers in Education Conference (FIE)

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Learning in biomedical engineering is highly interdisciplinary: students need to integrate concepts between engineering and life sciences, and be able to design and develop technologies with physiological considerations. In this study, biomedical engineering students' artifacts were analyzed in detail according to the structure-behavior-framework (SBF) framework. The SBF framework has been investigated by educational researchers and learning scientists; in particular, the behavioral and functional dimensions were proved to be related to a sophisticated level of understanding of complex systems. Existing research results also indicate that experts (or expert-like learners) show a deeper understanding of the behavioral and functional aspects of systems. In the current study, a 5-level scale comprising structural, behavioral, and functional dimensions of integrated learning was constructed to assess student learning in a biomedical engineering project course. Our results indicate that high achievers and low achievers were different in the behavioral and functional dimensions. The results also indicate significant relationships between behavioral and functional dimensions of learning and students' final course performance. These findings align with existing results in cognitive science and learning sciences on expert-novice differences, which help connecting engineering educational inquiries to the rich body of literature and findings in human learning.

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Section: Introductionmentioning

confidence: 99%

Assessing students' integrative learning in biomedical engineering from the perspectives of structure, behavior, and function

Chan

2010

2010 IEEE Frontiers in Education Conference (FIE)

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“…This model allows building design patterns that capture information about the structure, behaviour, and function of devices, simulating 'the learning of high-level abstractions and their use in reminding and adaptation' in future . This model supports analogical reasoning and is implemented in case-based reasoning tools such as IDeAL (Bhatta et al 1994, Goel andBhatta 2004) and Kritik .…”

Section: The Ai Views Of Functionmentioning

confidence: 99%

A protocol to formalise function verbs to support conservation-based model checking

Sen

Summers

Mocko

2011

Journal of Engineering Design

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This paper proposes, demonstrates, and validates a protocol to formalise mechanical function verb definitions to support automated analysis of early design concepts, specifically, physics-based model checking using the conservation laws. Present graph-based function structures rely on controlled vocabularies of verbs and nouns to model functions and flows. Currently, all vocabularies define these terms in plain text, allowing inconsistent interpretation and term usage in models, thus making the models unsuitable for formal computational reasoning. To address this limitation, two types of model-level consistenciestopological and conservational -are identified through model examination as critical requirements for physics-based reasoning. A protocol is then demonstrated to evolve three verbs -Branch, Distribute, and Convert_Energy -from their textual definitions into formal classes that include the necessary information elements to support this reasoning. These verbs are used to construct function models, which are then used to simulate reasoning by computer algorithms, thus validating that the definitions indeed support conservation-based model checks at the conceptual level. Objective and scopeThe overall motivation of this research is to develop a formal representation of mechanical functions in order to develop software tools that allow modelling and analysis of design concepts using automated reasoning that is presently not supported. As a first step in this direction, this paper presents a protocol to derive formal definitions of function verbs from their existing informal definitions that will ensure two basic types of model-level consistencies: (1) topological and (2) conservational. The first ensures that the count and types of input and output flows associated with the instances of a given verb in a function structure are consistent. The second ensures that each function in the model obeys material and energy conservation laws. This research is motivated by the possibility of supporting a concept-level analysis in design. As the critical objective of conceptual design is to synthesise design solutions, much of the *Corresponding author.

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“…IDeAL was created by Bhatta et al which uses a structure-behavior-function model-based approach to design-by-analogy through pattern finding, constraint analysis, and problem reformulation (Goel and Bhatta 2004;Bhatta et al 1994). A case-based reasoning tool called CADET was developed by Sycara et al (1991) to better retrieve and synthesize case design components for more effective combination.…”

Section: Design-by-analogymentioning

confidence: 99%

Design-by-analogy: experimental evaluation of a functional analogy search methodology for concept generation improvement

Murphy

Yang

et al. 2014

Res Eng Design

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Design-by-analogy is a growing field of study and practice, due to its power to augment and extend traditional concept generation methods by expanding the set of generated ideas using similarity relationships from solutions to analogous problems. This paper presents the results of experimentally testing a new method for extracting functional analogies from general data sources, such as patent databases, to assist designers in systematically seeking and identifying analogies. In summary, the approach produces significantly improved results on the novelty of solutions generated and no significant change in the total quantity of solutions generated. Computationally, this design-by-analogy facilitation methodology uses a novel functional vector space representation to quantify the functional similarity between represented design problems and, in this case, patent descriptions of products. The mapping of the patents into the functional analogous words enables the generation of functionally relevant novel ideas that can be customized in various ways. Overall, this approach provides functionally relevant novel sources of design-byanalogy inspiration to designers and design teams.

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Innovation in Analogical Design: A Model-Based Approach

Cited by 55 publications

References 14 publications

Assessing students' integrative learning in biomedical engineering from the perspectives of structure, behavior, and function

Assessing students' integrative learning in biomedical engineering from the perspectives of structure, behavior, and function

A protocol to formalise function verbs to support conservation-based model checking

Design-by-analogy: experimental evaluation of a functional analogy search methodology for concept generation improvement

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