Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
MTZ-Fachkongress

Antriebe und Energiesysteme von morgen


Austausch von Automobil- und Energiewirtschaft

Am 14./15. Mai geht es in Chemnitz um die Mobilitätswende durch Elektro- und Wasserstofffahrzeuge.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Theories and Models of Design: A Summary of Findings Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

20. Theories, Models, Programs, and Tools of Design: Views from Artificial Intelligence, Cognitive Science, and Human-Centered Computing

verfasst von : Ashok K. Goel, Michael E. Helms

Erschienen in: An Anthology of Theories and Models of Design

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Our research on design adopts the perspectives of artificial intelligence, cognitive science, and human-centered computing. Thus, it produces information-processing theories, computational models, computer programs, and interactive tools for aspects of design. In this chapter, we describe these perspectives and products. We also illustrate some of the methods and artifacts of our research through a case study of problem–solution coevolution in biologically inspired design. Starting with the Structure-Behavior-Function knowledge model as a seed, we develop a knowledge model of design problems called SR.BID that is grounded in empirical data about biologically inspired design practice. SR.BID captures problem descriptions as well as problem–solution relationships in biologically inspired design, and thus forms the basis for the development of new interactive tools for supporting its practice as well as new pedagogical techniques for learning about problem formulation.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Constraints and Conditions: Drivers for Design Processes
Nächstes Kapitel Modeling the Role of Sketching in Design Idea Generation
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
Bar-Cohen Y (ed) (2011) Biomimetics: nature-based innovation. CRC Press, Boca Raton
2.
Benyus J (1997) Biomimicry: innovation inspired by nature. William Morrow, New York
3.
Bhatta S, Goel A (1997) Learning generic mechanisms for innovative strategies in adaptive design. J Learn Sci 6(4):367–396CrossRef
4.
5.
Blessing L, Chakrabarti A (2009) DRM: A design research methodology. Springer, LondonCrossRef
6.
Brown J, Collins A, Duguid P (1989) Situated cognition and the culture of learning. Educational Researcher 18(1):32–42CrossRef
7.
Chakrabarti A, Shu L (2010) Biologically inspired design. AIEDAM 24:453–454CrossRef
8.
Chandrasekaran B (1994) Functional representation: a brief historical perspective. Appl Artif Intell 8(2):173–197CrossRef
9.
Chandrasekaran B, Goel A, Iwasaki Y (1993) Functional representation as design rationale. IEEE Comput 26:48–56
10.
Clancey W (1997) Situated cognition: on human knowledge and computer representations. Cambridge University Press, Cambridge
11.
Clement J (2008) Creative model construction in scientists and students: the role of imagery, analogy, and mental simulation. Springer, DordrechtCrossRef
12.
Darden L (1998) Anomaly-driven theory redesign: computational philosophy of science experiments. In: Bynum T, Moor J (eds) The digital phoenix: how computers are changing philosophy. Blackwell Publishers, New York, pp 62–78
13.
Dinar M, Shaj J, Hunt G, Campana E, Langley P (2011) Towards a formal representational model of problem formulation in design. In: Proceedings of ASME 2011 IDETC/CIE Conference, Washington DC
14.
Dorst K (2003) The problem of design problems. In: Cross N, Edmonds E (eds) Expertise in design. Creativity and Cognition Studio Press, Sydney
15.
Dorst K, Cross N (2001) Creativity in the design process: co-evolution of problem-solution. Des Stud 22(5):425–437CrossRef
16.
Glaser B, Strauss A (1967) The discovery of grounded theory: strategies for qualitative research. Aldine, Chicago
17.
Gebhardt F, Voß A, Gräther W, Schmidt-Belz B (1997) Reasoning with complex cases. Kluwer, Norwell, MACrossRefMATH
18.
Goel A (1992) Representation of design functions in experience-based design. In: Brown D, Waldron M, Yoshikawa H (eds) Intelligent computer aided design. North-Holland, Amsterdam, pp 283–308
19.
Goel A, Bhatta S, Stroulia E (1997) Kritik: an early case-based design system. In: Maher M, Pu P (eds) Issues and applications of case-based reasoning in design. Mahwah, Erlbaum, pp 87–132
20.
Goel A, Bhatta S (2004) Design patterns: a unit of analogical transfer in creative design. Adv Eng Inform 18(2):85–94CrossRef
21.
Goel A, Chandrasekaran B (1988). Integrating model-based reasoning with case based reasoning for design problem solving. In: Proceedings of AAAI-88 workshop on AI in design, Minneapolis
22.
Goel A, Davies J (2011) Artificial Intelligence. In: Sternberg R, Kaufman S (eds) Cambridge handbook of intelligence, 3rd edn. Cambridge University Press, Cambridge
23.
Goel A, Rugaber S, Vattam S (2009) Structure, behavior and function of complex systems: the SBF modeling language. Artif Intell Eng Des Anal Manuf 23:23–35CrossRef
24.
Goel A, Stroulia E (1996) Functional Device Models and Model-Based Diagnosis in Adaptive Design. Artif Intell Eng Des Anal Manuf 10:355–370CrossRef
25.
Goel A, Vattam S, Wiltgen B, Helms M (2012) Cognitive, collaborative, conceptual and creative—four characteristics of the next generation of knowledge-based CAD systems: a study in biologically inspired design. Comput Aided Des 44(10):879–900CrossRef
26.
Helms M (2011) Solution based problem evolution and problem inception in biologically inspired design. Technical report, GVU, Georgia Institute of Technology. GIT-GVU-11-10
27.
Helms M, Goel A (2012) Analogical problem evolution in biologically inspired design. In: Proceedings fifth international conference on design computing and cognition, College Station, Texas, July 2012. Springer
28.
Helms M, Vattam S, Goel A (2009) Biologically inspired design: product and processes. Des Stud 30(5):606–622CrossRef
29.
Kling R, Star SL (1998) Human centered systems in the perspective of organizational and social informatics. Comput Soc 28(1):22–29CrossRef
30.
Lamp J, Milton S (2007) Grounded theory as foundations for methods. In: Applied ontology, Proceedings of the 4th international conference on qualitative research in IT and IT in qualitative research (QualIT), Victoria University of Wellington
31.
Langley P (2012) The cognitive systems paradigm. Adv Cognitive Sys 1:3–13
32.
33.
Maher ML, Tang H (2003) Co-evolution as a computational and cognitive model of design. Res Eng Design 14(1):47–64
34.
Nagel J, Nagel R, Stone R, McAdams D (2010) Function-based, biologically inspired concept generation. Artif Intell Eng Des Anal Manuf 24:521–535CrossRef
35.
36.
Nersessian N (2008) Creating scientific concepts. MIT Press, Cambridge, MA
37.
Newell A, Simon H (1972) Human problem solving. Prentice-Hall, Englewood Cliffs
38.
Prabhakar S, Goel A (1998) Functional modeling for enabling adaptive design of devices for new environments. Artif Intell Eng 12:417–444CrossRef
39.
Russell S, Norvig P (2010) Artificial intelligence: a modern approach, 3rd edn. PrenticeHall, Upper Saddle River
40.
Sartori J, Pal U, Chakrabarti A (2010) A Methodology for supporting “transfer” in biomimetic design. AIEDAM 24:483–506CrossRef
41.
Shu L, Ueda K, Chiu I, Cheong H (2011) Biologically inspired design. CIRP Annals Manuf Technol 60:673–693
42.
Strauss A, Corbin J (1990) Basics of qualitative research: grounded theory procedures and techniques. Sage, Thousand Oaks
43.
Thagard P (2005) Mind: introduction to cognitive science, 2nd edn. MIT Press, Cambridge
44.
Vattam S, Helms M, Goel A (2010) A content account of creative analogies in biologically inspired design. Artif Intell Eng Des Anal Manuf 24:467–481CrossRef
45.
Vincent J, Bogatyreva O, Bogatyrev N, Bowyer A, Pahl A (2006) Biomimetics: its practice and theory. J R Soc Interface 3:471–482CrossRef
46.
Vincent J, Mann D (2002) Systematic technology transfer from biology to engineering. Phil Trans R Soc Lond 360:156–173
47.
Yen J, Weissburg M, Helms M, Goel A (2011) Biologically inspired design: a tool for interdisciplinary education. In: Bar-Cohen Y (ed) Biomimetics: nature-based innovation. Taylor & Francis, Boca Raton
48.
Yen J, Weissburg M (2007) Perspectives on biologically inspired design: introduction to the collected contributions. J Bioinspir Biomim 2
49.
Zhao F, Maher M (1988) Using analogical reasoning to design buildings. Engineering with Computers 4:107–122CrossRef
Metadaten
Titel
Theories, Models, Programs, and Tools of Design: Views from Artificial Intelligence, Cognitive Science, and Human-Centered Computing
verfasst von
Ashok K. Goel
Michael E. Helms
Copyright-Jahr
2014
Verlag
Springer London
Buch
An Anthology of Theories and Models of Design

Print ISBN: 978-1-4471-6337-4

Electronic ISBN: 978-1-4471-6338-1

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4471-6338-1_20

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise