Computer-aided creativity and learning in distributed cooperative human-machine networks

Zamenopoulos, Theodore and Alexiou, Katerina (2003). Computer-aided creativity and learning in distributed cooperative human-machine networks. In: Chiu, M-L.; Tsou, J-Y.; Kvan, T.; Morozumi, M. and Jeng, T-S. eds. Digital Design: research and practice, Proceedings of the 10th International Conference on Computer Aided Architectural Design Futures. Dordrecht, The Netherlands: Kluwer Academic Publishers, pp. 191–201.

URL: http://www.springer.com/uk/home/architecture+%26+d...

Abstract

In this paper we discuss designing abilities, such as creativity and learning, as abilities that emerge though interaction in cooperative human-machine networks. We concentrate in a design system that can exhibit and support creative behaviour using knowledge learnt through distributed human-machine interaction. In this context, conflict resolution and coordination is a main issue, as well as a main indicator for the creative and adaptive ability of the design system. More specifically, we are going to present a model of coordination developed using learning control and multi-agent systems methodologies and techniques. A prototype system is tested in a virtual collaborative design assignment for simple location and three-dimensional configuration problems.

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About

• Item ORO ID
• 8319
• Item Type
• Book Section
• ISBN
• 1-4020-1210-1, 978-1-4020-1210-5
• Keywords
• Human-Machine Networks; creativity; coordination; Distributed Learning Control;
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Engineering and Innovation
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Design and Innovation
• Depositing User
• Katerina Alexiou