From Form to Function: From SBF to DSSBF

Yaner, Patrick W.; Goel, Ashok K.

doi:10.1007/978-1-4020-5131-9_22

Cited by 12 publications

(14 citation statements)

References 10 publications

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“…The KRITIK system developed by Goel and colleagues makes use of the SBF modeling of the design object (Goel & Chandrasekaran, 1989, 1992Goel, 1991;Yaner & Goel, 2006). In this model functions and behaviors are represented at multiple levels of aggregation and abstraction in a hierarchical way.…”

Section: Functional Decompositionmentioning

confidence: 99%

“…Then those higher level behaviors are associated with some lower level subfunctions, which are again associated with lower level behaviors for their realization. This interdependent decomposition goes until the functions can be associated with concrete components of the structure (Yaner & Goel, 2006). Goel and Bhatta (2004) consider the function in this schema as an "index" to the internal causal behavior responsible for its realization.…”

Section: Functional Decompositionmentioning

confidence: 99%

“…In contrast, MBR-based approaches reason out implicit causal relations. KRITIK is an analogy-based design support tool using case-based reasoning and MBR (Goel & Chandrasekaran, 1989, 1992Goel, 1991;Bhatta et al, 1994;Yaner & Goel, 2006).…”

Section: Ai and Fmmentioning

confidence: 99%

See 2 more Smart Citations

A review of function modeling: Approaches and applications

Erden

Komoto

Beek

et al. 2008

AIEDAM

269

190

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This work is aimed at establishing a common frame and understanding of function modeling (FM) for our ongoing research activities. A comparative review of the literature is performed to grasp the various FM approaches with their commonalities and differences. The relations of FM with the research fields of artificial intelligence, design theory, and maintenance are discussed. In this discussion the goals are to highlight the features of various classical approaches in relation to FM, to delineate what FM introduces to these fields, and to discuss the applicability of various FM approaches in these fields. Finally, the basic ideas underlying our projects are introduced with reference to the general framework of FM.

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Section: Functional Decompositionmentioning

confidence: 99%

Section: Functional Decompositionmentioning

confidence: 99%

See 1 more Smart Citation

A review of function modeling: Approaches and applications

Erden

Komoto

Beek

et al. 2008

AIEDAM

269

190

View full text Add to dashboard Cite

show abstract

“…Gebhardt et al (1997) describe a computer-aided design system that used both diagrammatic design cases and propositional design rules. Yaner and Goel (2006) describe an organizational schema for combining functional, causal, spatial, and diagrammatic knowledge about design cases.The five papers selected for this Special Issue push the envelope of research on multimodal design further. The research contexts, goals, and methods of the first two papers are similar.…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Multimodal design: An overview

Goel

Davis

Gero

2008

AIEDAM

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Design generally entails multiple kinds, or modalities, of representation and reasoning. For example, designers reason with different kinds of representations, including both imagistic (e.g., drawings, sketches, and diagrams) and propositional (e.g., function, behavior, causality, and structure). This multimodal nature of design representation and reasoning raises several issues for artificial intelligence (AI) research on design.For example, what types of knowledge are captured by various modalities of representation? What kinds of inferences are enabled and constrained by different representation modalities? How might we couple a representation in one modality with a representation in another or transform a representation in one modality to another? AI researchers have long been interested in these issues, although not necessarily in the context of design.AI research on multimodal representations and reasoning relevant to design has generally followed several important threads. In one thread, AI research has sought to understand the various modalities in terms of the types of knowledge they capture and the inferences they enable. For example, Davis (1984) describes an early effort to declaratively represent and then reason about the structure and behavior of physical systems, and Sembugamoorthy and Chandrasekaran (1986) describe an early attempt to declaratively represent functions of physical systems and relate them to their structure via their behaviors. Both efforts focused on diagnostic problem solving. In contrast, Glasgow and Papadias (1992) present an analysis of imagistic representations and use symbolic arrays to represent spatial knowledge.Another thread of AI research on multimodal representations and reasoning pertains to interpreting imagistic representations of a system by reasoning about its structure and behavior. For example, Stahovich, Davis, and Shrobe (1998) describe an attempt at abstracting the behaviors of a physical system from its schematic sketch. A third research thread is concerned with the coupling of reasoning across different representation modalities. For example, Funt (1980) describes an early effort in which a diagrammatic reasoner answered questions posed by a propositional problem solver, and Chandrasekaran (2006) presents a recent attempt at a multimodal cognitive architecture in which propositional and diagrammatic components cooperate to solve problems.AI research on design per se has pursued similar threads. For example, Gero (1996) has analyzed the role of imagistic representations in creative design and describes cognitive studies of imagistic representations and reasoning in design (Gero, 1999). Gebhardt et al. (1997) describe a computer-aided design system that used both diagrammatic design cases and propositional design rules. Yaner and Goel (2006) describe an organizational schema for combining functional, causal, spatial, and diagrammatic knowledge about design cases.The five papers selected for this Special Issue push the envelope of research on multimodal design...

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From Diagrams to Design: Overcoming Knowledge Acquisition Barriers for Case Based Design

Helms

Goel

2008

Design Computing and Cognition '08

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From Form to Function: From SBF to DSSBF

Cited by 12 publications

References 10 publications

A review of function modeling: Approaches and applications

A review of function modeling: Approaches and applications

Multimodal design: An overview

From Diagrams to Design: Overcoming Knowledge Acquisition Barriers for Case Based Design

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