Abstract
This paper propose a multi-agent system, called ADEA (Agents-based DEsign Activity Analysis), to validate some properties of a theory for design activity reasoning. In this theory, two axioms are proposed to govern design activity. Axiom 1 deals with relations between the descriptors of an artefact: means and effects. Axiom 2 deals with actors and their roles in design activity. From the two defined axioms, some properties of the design activity theoretical model have been shown. ADEA’s platform design lays explicitly on the properties drawn from the proposed design activity theory. The originality of ADEA is the reactive behaviour of autonomous and distributed agents following the evolution of the design space. Each agent has a role relatively to the proposed theory and is both cognitive and reactive. ADEA permits to show the properties of design activity as co-evolution of the problem and solution, emergence of design parameters, rules and real resulting parameters, temporal continuity of design activity, knowledge computing and reactivity.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Bucciarelli L (1994) Designing engineers. The MIT press Cambridge, Massachusetts
Cernuzzi L, Cossentino M, Zambonelli F (2005) Process models for agent-based development. Engineering Applications of Artificial Intelligence, 18(2), 205-222
Chira O, Chira C, Roche T, Tormey D, Brennan A (2006) An agent-based approach to knowledge management in distributed design. Journal of Intelligent Manufacturing, 17(6), 737-750
Choulier D (2010) Towards a new theory for design activity reasoning. First International Conference on Design Creativity, (ICDC2010), Kobe (Japan), November 29- December 1, 2010
Cross N (2006) Designerly Ways of Knowing. Springer
D’Astous P, Detienne F, Visser W, Robillard PN (2004) Changing our view on design evaluation meetings methodology: a study of software technical review meetings. Design Studies Vol 25 N°6 pp 625 – 655
Dorst K, Cross N (2001) Creativity in the design process: co evolution of problem solution, Design Studies Vol 22 N°5 pp 425 – 438
Eckert C, Stacey M (2001) Designing in the context of fashion: designing the fashion context, in designing in context, P. Lloyd, H. Christiaans (editors), Proceedings of design thinking research symposium 5, Delft university press
Ferber J (1999) Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence. Addison Wesley, London
Fougères A-J (2004) Agents to cooperate in distributed design. In Proceedings of the IEEE International Conference on Systems, Man and Cybernetic, The Hague, Netherlands, pp. 2629-2634
Fougères A-J (2011) Modelling and simulation of complex systems: an approach based on multi-level agents. International Journal of Computer Science Issues, 8(6): 8-17
Gero JS, Kannengiesser U (2002) The situated Function Behaviour framework. Design Studies Vol. 25 - 4, pp 373-392
Goldschmidt G, Smolkov M (2006) Variances in the impact of visual stimuli on design problems solving performance. Design Studies Vol 27 N° 5 p 549 – 570
Hadeli T, Valckenaers P, Kollingbaum M, Van Brussel H (2004) Multi-agent coordination and control using stigmergy. Computers in Industry, 53, 75–96
Hatchuel A, Weil B (2009) CK design theory: an advanced formulation. Res Eng Design 19:181–192
Jennings NR (2000) On agent-based software engineering. Artificial Intelligence, 117, 277-296
Leitão P (2008) Agent-based distributed manufacturing control: A state-of-the-art survey. Engineering Applications of Artificial Intelligence, doi:10.1016/j.engappai.2008.09.005
Marik V, McFarlane D (2005) Industrial adoption of agent-based technologies. IEEE Intelligent Systems, 20(1), 27-35
Ming Chao K, Norman P, Anane R, James A (2002) An agent-based approach to engineering design. Computers in Industry, 48(1), 17-27
Monostori L, Vancza J, Kumara SRT (2006) Agent-Based Systems for Manufacturing. Annals of the CIRP, 55(2), 697-720
Moon SK, Simpson TW, Kumara SRT (2009) An agent-based recommender system for developing customized families of products. Journal of Intelligent Manufacturing, 20(6), 649–659
Nahm YE, Ishikawa H (2005) A hybrid multiagent system architecture for enterprise integration using computer networks. Robotics and Computer-Integrated Manufacturing, 21(3), 217-234
Ostrosi E, Fougères A-J (2011) Optimization of product configuration assisted by fuzzy agents. International Journal on Interactive Design and Manufacturing, Vol. 5, N° 1, pp. 29-44
Parunak H, Sauter J, Fleisher M (1999) The RAPPID Project: symbiosis between industrial requirements and MAS research. Autonomous Agents and Multiagent Systems, 2, 111-140
Rasmussen J (1983) Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models. IEEE Transactions on Systems, Man, and Cybernetics, 13, 257-266
Shai O, Reich Y (2004) Infused design. I Theory, Research in Engineering Design, 15(2):93-107
Shai O, and Reich Y (2004) Infused design. II Practice, Research in Engineering Design, 15(2):108-121
Shen W, Hao Q, Wang S, Li Y, Ghenniwa H (2007) An agent-based service-oriented integration architecture for collaborative intelligent manufacturing. Robotics and Computer-Integrated Manufacturing. 23, pp. 315-325
Simon HA (1996) The sciences of artificial. MIT press Cambridge, Massachusetts, London, England, Third edition, ISBN 0 262 19374 4 (1st edition 1969)
Suh NP (2001) Axiomatic design - Advances and applications. MIT, Oxford University press, 2001
Tomiyama T, Yoshikawa H (1987) Extended General Design Theory, in H. Yoshikawa and E.A. Warman (eds.), Design Theory for CAD, North-Holland, Amsterdam, pp. 95-130
Trentesaux D, Dindeleux R, Tahon C (1998) A multicriteria decision support system for dynamic task allocation in a distributed production activity control structure. Int. J. Comput. Integr. Manuf., 11(1), 3–17
Valckenaers P, Hadeli K, Saint Germain B, Verstraete P, van Brussel H, (2006) Emergent short-term forecasting through ant colony engineering in coordination and control systems. Advanced Engineering Informatics 20(3), 261–278
Valkenburg R, Dorst K (1998) The reflective practice of design teams. Design Studies Vol 19 N°3 pp 249 – 272
van Aart C (2005) Organizational Principles for Multiagent Architectures. Birkhauser Verlag, Basel
Vinck D (2003) Socio technical complexity: redesigning a shielding wall, in Everyday engineering - An ethnography of design and innovation. Vinck (ed) The MIT press Cambridge, Massachusetts, London 2003
Visser W (2006) The cognitive artifacts of designing. Lawrence Erlbaum associates, publishers, London
Wooldridge M (2002) An introduction to multiagent systems. John Wiley & Sons
Weiss G (1999) Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag London
About this paper
Cite this paper
Fougères, AJ., Choulier, D., Ostrosi, E. (2013). ADEA: A Multiagent System for Design Activity Analysis. In: Stjepandić, J., Rock, G., Bil, C. (eds) Concurrent Engineering Approaches for Sustainable Product Development in a Multi-Disciplinary Environment. Springer, London. https://doi.org/10.1007/978-1-4471-4426-7_42
Download citation
DOI: https://doi.org/10.1007/978-1-4471-4426-7_42
Published:
Publisher Name: Springer, London
Print ISBN: 978-1-4471-4425-0
Online ISBN: 978-1-4471-4426-7
eBook Packages: EngineeringEngineering (R0)