Hostname: page-component-78c5997874-lj6df Total loading time: 0 Render date: 2024-11-10T15:17:44.875Z Has data issue: false hasContentIssue false

Agents for multidisciplinary design in virtual worlds

Published online by Cambridge University Press:  06 August 2007

Mary Lou Maher
Affiliation:
Key Centre for Design Computing and Cognition, University of Sydney, Sydney, Australia
Michael Rosenman
Affiliation:
Key Centre for Design Computing and Cognition, University of Sydney, Sydney, Australia
Kathryn Merrick
Affiliation:
Key Centre for Design Computing and Cognition, University of Sydney, Sydney, Australia

Abstract

Agent models provide a generalized approach to the design of systems that autonomously monitor and affect an environment. Societies of agents that reason and communicate about an environment can achieve complex emergent behavior to facilitate and augment human activities. This paper introduces artificial agent technologies as a means by which the behavioral complexity of virtual worlds can be extended to provide the functionality needed to support collaboration in multidisciplinary design teams. Three key roles are identified that artificial agents can play to provide this functionality: support for multiple views of designed objects, support for the expression of relationships between designed objects, and compatibility with existing design tools. The implementation of a society of agents fulfilling these roles within a virtual world based, multidisciplinary design tool called DesignWorld is described. The increased behavioral complexity and functionality of DesignWorld's underlying virtual world is demonstrated using the results of multidisciplinary design experiments with DesignWorld.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2007

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Bucciarelli, L.L. (2003). Design and learning: a disjunction in contexts. Design Studies 24(3), 295311.CrossRefGoogle Scholar
Conti, G., Ucelli, G., & De Amicis, R. (2003). JCAD-VR—a multi-user virtual reality design system for conceptual design. TOPICS. Reports of the INI-GraphicsNet 15, 79.Google Scholar
Gu, N., & Maher, M.-L. (2004). A grammar for the dynamic design of virtual architecture using rational agents. International Journal of Architectural Computing 4(1), 489501.Google Scholar
Gul, F., & Maher, M.-L. (2006). Studying design collaboration in DesignWorld: an augmented 3D virtual world. Proc. 3rd Int. Conf. Computer Graphics, Imaging and Visualisation. New York: IEEE.Google Scholar
IAI. (2000). Industry Foundation Classes—Release 2x, IFC Technical Guide. Accessed November 10, 2004 at http://www.iai-international.org/iai_international/technical_documents/documentation/IFC_2x_technical_guide.pdfGoogle Scholar
Krishnamurthy, K., & Law, K.H. (1997). A data management model for collaborative design in a CAD environment. Engineering with Computers 13(2), 6586.CrossRefGoogle Scholar
Lee, K., Chin, S., & Kim, J. (2003). A core system for design information management using industry foundation classes. Computer-Aided Civil and Infrastructure Engineering 18, 286298.CrossRefGoogle Scholar
Maher, M.-L., Bilda, Z., Gul, F., Huang, Y., & Marchant, D. (2006). Comparing distance collaborative designing using digital ink sketching and 3D models in virtual environments, Clients Driving Innovation. Proc. 2nd Int. Conf. Construction Innovation.Google Scholar
Maher, M.-L., & Gero, J.S. (2002). Agent models of 3D virtual worlds. In ACADIA 2002: Thresholds, pp. 127138. Pomona, CA: California State Polytechnic University.Google Scholar
Maher, M.-L., & Merrick, K. (2005). Agent models for dynamic 3D virtual worlds. The 2005 Int. Conf. Cyberworlds, Singapore, pp. 2734.CrossRefGoogle Scholar
Maher, M.-L., Smith, G.J., & Gero, J.S. (2003). Design agents in 3D virtual worlds. In IJCAI Workshop on Cognitive Modelling of Agents and Multi-Agent Interactions, pp. 92100. Acapulco, Mexico.Google Scholar
Naja, H. (1999). Multiview databases for building modelling. Automation in Construction 8, 567579.CrossRefGoogle Scholar
Nederveen, S.V. (1993). View integration in building design. In Management of Information Technology for Construction (Mathur, K.S., Betts, M.P., & Tham, K.W., Eds.), pp. 209221. Singapore: World Scientific.Google Scholar
Nilsson, N.J. (1996). Introduction to Machine Learning. Accessed January 2006 at http://ai.stanford.edu/people/nilsson/mlbook.htmlGoogle Scholar
Nilsson, N.J., & Fikes, R.E. (1971). STRIPS: a new approach to the application of theorem proving to problem solving. Artificial Intelligence 2(4), 189208.Google Scholar
Pierra, G. (1993). A multiple perspective object oriented model for engineering design. In New Advances in Computer Aided Design and Computer Graphics (Zhang, X., Ed.), pp. 368373. Beijing: International Academic Publishers.Google Scholar
Pierra, G., Sardet, E., Potier, J.C., Battier, G., Derouet, J.C., Willmann, N., & Mahir, A. (1998). Exchange of component data: the PLIB (ISO 13584) model, standard and tools. Proc. CALS EUROPE '98 Conf., pp. 160176, Paris, September 16–18.Google Scholar
Rosenman, M., & Gero, J.S. (1996). Modelling multiple views of design objects in a collaborative CAD environment. AI in Design 28(3), 207216.Google Scholar
Rosenman, M., & Gero, J.S. (1998). CAD modelling in multidisciplinary design domains. In Artificial Intelligence in Structural Engineering Smith, E., Ed.), pp. 335347. New York: Springer.CrossRefGoogle Scholar
Rosenman, M., Merrick, K., Maher, M.L., & Marchant, D. (2006). DESIGNWORLD: a multidisciplinary collaborative design environment using agents in a virtual world. In Design Computing and Cognition 2006 (Gero, J.S., Ed.), pp. 695710. Dordrecht: Springer.Google Scholar
Savioja, L., Mantere, M., Olli, I., Äyräväinen, S., Gröhn, M., & Iso-Aho, J. (2003). Utilising virtual environments in construction projects. ITCon 8, 8599.Google Scholar
Smith, G.J., Maher, M.-L., & Gero, J.S. (2003). Designing 3D virtual worlds as a society of agents. In Digital Design: Research and Practice—Proc. 10th Int. Conf. Computer Aided Architectural Design Futures (Chiu, M.-L., Tsou, J.-Y., Kvan, T., Morozumi, M., & Jeng, T.-S., Eds.), pp. 105114.Google Scholar
Wong, A., & Sriram, D. (1993). SHARED an information model for cooperative product development. Research in Engineering Designs 5, 2139.CrossRefGoogle Scholar
Wooldridge, M. (1997). Agent based software engineering. IEEE Proceedings on Software Engineering 144(1), 2637.CrossRefGoogle Scholar
Zoubin, G. (2003). Unsupervised learning. In Advanced Lectures on Machine Learning Bousquet, O., Raetsch, G., & von Luxburt, U., Eds.), pp. 72112. Berlin: Springer–Verlag.Google Scholar