Abstract
The integration of cognitive functions will enable mechatronic systems to be superiorly embedded into their environment and to follow their system objectives independently. The intention is to develop self-optimizing systems, which can optimize their behavior by themselves to become more flexible, robust and user-friendly. Numerous challenges, however, become apparent on the way to such intelligent technical systems. The development is characterized by an increasing involvement of non-technical disciplines like cognitive science, higher mathematics or neurobiology. Existing design methodologies are focusing technical disciplines on the one hand and non-technical disciplines on the other hand. For instance, there is a lack of a systematic coupling of those disciplines, which are relevant for the exploration of cognitive functions, with the general engineering approach in product development. To rise to these challenges, the integration of cognitive functions has already to be supported with some kind of methodology. Focus of the methodology must be the early stages of the development. Within this design phases the developer have to modify the principle solution in common. Hence, important requirements occur in terms of the intensified interdisciplinarity of the development and the increasing system complexity. Therefore, a design framework for the integration of cognitive functions into self-optimizing systems has been developed which integrates both, existing and newly developed methods in a well-structured procedure. For this purpose, in section two, we will introduce the concept of self-optimizing systems and the operator-controller-module. Afterwards we will describe the need of action in section three and the state of the art: “design framework for cognition” in section four. In section five, we present our developed design framework for the integration of cognitive functions into intelligent technical systems. Therefore, we will explain the procedure model and a specification technique to describe self-optimizing systems. In addition, we will present a uniform type of solution patterns for the reuse of once successfully implemented knowledge and the solution pattern knowledge base for the tool support. To conclude, we will sum up the major points and give a short outlook on our future work.
Similar content being viewed by others
References
Mehrabian A, Russell JA (1974) An approach to environmental psychology. MIT Press, Cambridge
Strube G (1998) Modelling motivation and action control in cognitive systems. In: Schmid U et al (eds) Mind modelling. Pabst, Berlin
Adelt P, Donoth J, Gausemeier J, Geisler J, Henkler S, Kahl S, Klöpper B, Krupp A, Münch E, Oberthür S, Paiz C, Porrmann M, Radkowski R, Romaus C, Schmidt A, Schulz B, Vöcking H, Witkowski U, Witting K, Znamenschykov O (2009) Selbstoptimierende Systeme des Maschinenbaus—Definitionen, Anwendungen, Konzepte. HNI-Verlagsschriftenreihe, Band 234, Paderborn
Broy M (ed) (2010) Cyber-physical systems—innovation durch softwareintensive eingebette Systeme. Acatech DISKUTIERT. Springer, Berlin
Verein Deutscher Ingenieure (VDI), 1.4 (2011) Industrie 4.0: Mit dem Internet der Dinge auf dem Weg zur 4. industriellen Revolution.VDI—Nachrichten, Berlin
Gausemeier J, Frank U, Donoth J, Kahl S (2009) Specification technique for the description of self-optimizing mechatronic systems. Res Eng Design 20(4):201–223
Website of the CRC 614: http://www.sfb614.de/
Pahl G, Beitz W, Feldhusen J, Grote K-H (2007) Engineering design—a systematic approach, 3rd edn. Springer, London
Verein Deutscher Ingenieure (VDI) (2004) VDI-guideline 2206—design methodology for mechatronics systems. Beuth Verlag, Berlin
Riegler A (2007) The goose, the fly, and the submarine navigator—the case for interdisciplinarity in artificial cognition research. In: Loula A, Gudwin R, Quieroz J (eds) Artificial cognition systems. Idea Group Publishing, Hershey
Strube G (1996) Wörterbuch der Kognitionswissenschaft. Klett-Cotta, Stuttgart
Vernon D (2010) Enaction as a conceptual framework for developmental cognitive robotics. Paladyn J Behav Robot 1(2):89–98
Müller BS (1998) Identifikation elementarer kognitiver Leistungen. GMD Report 17, Sankt Augustin
Bischof N (2009) Psychologie—Ein Grundkurs für Anspruchsvolle. Kohlhammer, Stuttgart, 2. Auflage
Herzog O, Schildhauer T (Hrsg.) (2009) Acatech DISKUTIERT. Intelligente Objekte: Technische Gestaltung—Wirtschaftliche Verwertung—Gesellschaftliche Wirkung. Springer, Berlin
Rzevski G (2003) On conceptual design of intelligent mechatronic systems. Mechatronics 13(10):1029–1044
Haberfellner R, Fricke E, Weck O, Vössner S (2012) Systems engineering—Grundlagen und Anwendung. Orell Füssli Verlag, Zürich
Hall AD (1962) A methodology for systems engineering. Princeton University Press, Princeton, NJ
Brachman RJ (2002) Systems that know what they`re doing. IEEE Intell Syst 17(6):67–71
Metzler T, Shea K (2010) Cognitive products—definition and framework. In: Proceedings of international design conference (DESIGN2010), May 17–20, Dubrovnik, Croatia, pp 865–874
Chmarra MK, Arts L, Tomiyama T (2008) Towards adaptable architecture. In: Proceedings of the ASME 2008 international design engineering technical conferences & computers and information in engineering conference (IDETC/CIE2008), August 3–6, New York, USA
Paetzold K (2006) On the importance of a functional description for the development of cognitive technical systems. In: Proceedings of the international design conference (DESIGN2006), May 15–18, Dubrovnik, Croatia
Stuppy J, Paetzold K (2005) Integration der Kognition in technische Systeme. In: Tagungsband des 16. Symposiums “Design for X”, 13–14. Oktober, Neukirchen S. 130–150
Bossel H (1994) Modellbildung und Simulation—Konzepte, Verfahren, und Modelle. Vieweg Verlag, Braunschweig
Newell A (1990) Unified theories of cognition. Harvard University Press, Cambridge
Anderson JR, Bothel D, Byrne MD, Douglass S, Lebiere C, Qin Y (2004) An integrated theory of the mind. Psychol Rev 111(4):1036–1060
Burghart C, Mikut R, Stiefelhagen R, Asfour T, Holzapfel H, Steinhaus P, Dillmann R (2005) A cognitive architecture for a humanoid robot—a first approach. In: Proceedings of IEEE-RAS international conference on humanoid robots (Humanoids2005), December 5–7, Tsukuba, Japan
Dörner D, Schaub H, Detje F (2001) Das Leben von PSI—Über das Zusammenspiel von Kognition, Emotion und Motivation—oder: Eine einfache Theorie für komplizierte Verhaltensweisen. In: Sozionikaktuell, Nr. 2/2001, Hamburg
Koller R, Kastrup N (1998) Prinziplösungen zur Konstruktion technischer Produkte. Springer, Berlin
Roth K-H (2001) Konstruieren mit Konstruktionskatalogen, Band 2, Kataloge. Springer, Berlin
Langlotz G (2000) Ein Beitrag zur Funktionsstrukturentwicklung innovativer Produkte. PhD Thesis, University of Karlsruhe
Cloutier R (2008) Applicability of patterns to architecting complex systems—making implicit knowledge explicit. VDM Verlag, Saarbrücken
Gamma E, Helm R, Johnson R, Vlissides J (1994) Design-patterns—elements of reusable object-oriented software. Addison-Wesley Verlag, München
Salustri F-A (2001) Using design patterns to promote multidisciplinary design. In: CSME international conference on multidisciplinary design engineering, Montreal
Lossack R, Grabowski H (2000) The axiomatic approach in the universal design theory. In: Proceedings of the first international conference on axiomatic design (ICAD2000), Cambrigde
Alexander C, Ishikawa S, Silverstein M, Jacobson M, Fiksdahl-King I, Angel A (1977) A pattern language. Oxford University Press, New York
Sauer T (2006) Ein Konzept zur Nutzung von Lösungsobjekten für die Produktentwicklung in Lern- und Anwendungssystemen. PhD-Thesis, VDI-Verlag, Düsseldorf
Acknowledgments
This contribution has been developed in the course of the Collaborative Research Centre 614 “Self-Optimizing Concepts and Structures in Mechanical Engineering” funded by the German Research Foundation (DFG) under the grant number SFB 614.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Dumitrescu, R., Anacker, H. & Gausemeier, J. Design framework for the integration of cognitive functions into intelligent technical systems. Prod. Eng. Res. Devel. 7, 111–121 (2013). https://doi.org/10.1007/s11740-012-0437-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11740-012-0437-z