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Erschienen in:
Analogical Problem Evolution in Biologically Inspired Design Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Beyond Function−Behavior−Structure

verfasst von : Mahmoud Dinar, Chris Maclellan, Andreea Danielescu, Jami Shah, Pat Langley

Erschienen in: Design Computing and Cognition '12

Verlag: Springer Netherlands

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Abstract

Our research is investigating the relationship between design problem formulation and creative outcome. Our research is investigating the relationship between design problem formulation and creative outcome. Towards that goal we have conducted experiments with designers engaged in problem formulation. In order to analyze such empirical data, a formal representation is needed. One popular model is Function-Behavior-Structure (FBS) and its several variants. Our problem map (P-map) model shares many features with FBS but also has important differences. We introduce a hierarchical representation not only in each of the F, B, S domains but in additional domains (requirements and issues). We also identify generic inter and intra-domain relationships between these entities, leading to a more expressive and flexible model that is domain independent and well suited for representing problem formulations of designers with different expertise levels and creativity. We have used the model for coding protocol data in a formal predicate logic language (Answer Set Prolog).

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Vorheriges Kapitel Function−Behavior−Structure Representation of the Grids in Graphic Design
Nächstes Kapitel Functional Design Space Representations for Lead Qualification Situations
Literatur
1.
Dinar M, Shah JJ, Langley P, Hunt GR, Campana E (2011) A structure for representing problem formulation in design. In: Culley SJ, Hicks BJ, McCloone TC, Howard TJ, Chen W (eds) Proceedings of the 18th international conference on engineering design, pp 392–440
2.
Dinar M, Shah JJ, Langley P, Campana E, Hunt GR (2011) Towards a formal representation model of problem formulation in design. In Proceedings of ASME DETC, pp 263–327
3.
Gero JS (1990) Design prototypes: a knowledge representation schema for design. AI Mag 11(4):26–36
4.
Goel AK, Rugaber S, Vattam S (2009) Structure, behavior and function of complex systems: the structure, behavior, and function modeling language. Artif Intell Eng Des Anal Manuf 23(1):23–35CrossRef
5.
Chandrasekaran B (1994) Functional representation: a brief historical perspective. Appl Artif Intell 8(2):173–197CrossRef
6.
Gelfond M (2008) Answer sets. In: van Harmelen F, Lifschitz V, Porter B (eds) Handbook of knowledge representation. Elsevier, Amsterdam, pp 285–331
7.
Gui JK (1990) A Function-Behaviour-Structure machine design model and its use in assembly sequence planning. J Eng Des 1(3):239–259CrossRefMathSciNet
8.
Dorst K, Vermaas PE (2005) John Gero’s Function-Behaviour-Structure model of designing: a critical analysis. Res Eng Des 16(1–2):17–26CrossRef
9.
Galle P (2009) The ontology of Gero’s FBS model of designing. Des Stud 30(4):321–339CrossRef
10.
Chandrasekaran B, Josephson JR (2000) Function in device representation. Eng Comput 16(3–4):162–177CrossRefMATH
11.
Stone RB, Wood KL (2000) Development of a functional basis for design. J Mech Des 122(4):359–370CrossRef
12.
Hirtz J, Stone RB, Mcadams DA, Szykman S, Wood KL (2002) A functional basis for engineering design: reconciling and evolving previous efforts. Res Eng Des 13:65–82
13.
Chandrasekaran B (2005) Representing function: relating functional representation and functional modeling research streams. Artif Intell Eng Des Anal Manuf 19:65–74CrossRef
14.
Gero JS, Kannengiesser U (2004) The situated Function-Behaviour-Structure framework. Des Stud 25(4):373–391CrossRef
15.
Gero JS, Kannengiesser U (2007) A Function–Behavior–Structure ontology of processes. Artif Intell Eng Des Anal Manuf 21(04):379–391CrossRef
16.
Howard TJ, Culley SJ, Dekoninck E (2008) Describing the creative design process by the integration of engineering design and cognitive psychology literature. Des Stud 29(2):160–180CrossRef
17.
Gero JS, Mc Neill T (1998) An approach to the analysis of design protocols. Des Stud 19(1):21–61CrossRef
18.
Neill TM, Gero JS, Warren J (1998) Understanding conceptual electronic design using protocol analysis. Res Eng Des 10(3):129–140CrossRef
19.
Pourmohamadi M, Gero JS (2011) LINKOgrapher: an analysis tool to study design protocols based on FBS coding. In: Proceedings of the international conference on engineering design. Copenhagen, Denmark, pp 1–10
20.
Umeda Y, Ishii M, Yoshioka M, Shimomura Y, Tomiyama T (1996) Supporting conceptual design based on the Function-Behavior-State modeler. Artif Intell Eng Des Anal Manuf 10(4):275–288CrossRef
21.
Anthony L, Regli WC, John JE, Lombeyda SV (2001) An approach to capturing structure, behavior, and function of artifacts in computer-aided design. J Comput Inf Sci Eng 1(2):186–192CrossRef
22.
Maher ML, Gomez de Silva Garza A (1997) Case-based reasoning in design. IEEE Expert 12(2):34–41
23.
Umeda Y, Takeda H, Tomiyama T, Yoshikawa H (1990) Function, behaviour, and structure. Applications of artificial intelligence in engineering V. Computational Mechanics Publications and Springer, Berlin, pp 177–194
24.
Simon HA (1996) The sciences of the artificial. MIT Press, Cambridge
25.
Dorst K, Cross N (2001) Creativity in the design process: co-evolution of problem–solution. Des Stud 22:425–437CrossRef
26.
Maher M, Poon J, Boulanger S (1996) Formalising design exploration as co-evolution: a combined gene approach. Advances in formal design methods for CAD: In: Proceedings of the IFIP WG5.2 workshop on formal design methods for computer-aided design
27.
Eisentraut R, Gunther J (1997) Individual styles of problem solving and their relation to representations in the design process. Des Stud 18:369–383CrossRef
28.
Akin O, Chengtah L (1996) Design protocol data and novel design decisions. In: Cross N, Christiaans H, Dorst K (eds) Analysing design activity. Wiley, Chichester, pp 35–63
29.
Gero JS, Kannengiesser U (2007) Locating creativity in a framework of designing for innovation. In: León-Rovira N (ed) Trends in computer aided innovation. Springer, Boston, pp 57–66
30.
Gelfond M, Lifschitz V (1988) The stable model semantics for logic programming. In: Kowalski RA, Bowen KA (eds) Proceedings of the fifth international conference on logic programming. MIT Press, Massachusetts, pp 1070–1080
31.
Barker R (1990) CASE method: entity relationship modelling. Addison-Wesley Longman Publishing Co. Inc, Boston
32.
Goel V, Pirolli P (1992) The structure of design problem spaces. Cogn Sci 16(3):395–429CrossRef
33.
Newell A, Simon HA (1972) Human problem solving. Prentice-Hall, Upper Saddle River
Metadaten
Titel
Beyond Function−Behavior−Structure
verfasst von
Mahmoud Dinar
Chris Maclellan
Andreea Danielescu
Jami Shah
Pat Langley
Copyright-Jahr
2014
Verlag
Springer Netherlands
Buch
Design Computing and Cognition '12

Print ISBN: 978-94-017-9111-3

Electronic ISBN: 978-94-017-9112-0

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-94-017-9112-0_28

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