Thematic Collection on Design Computing and Cognition 2020
AIEDAM Special Issue, Volume 35, Number 4, Fall 2021
Guest Editors: Athanassios Economou & Yan Jin
This special issue of AIEDAM aims to present cutting edge, state-of-the-art research in design computing and cognition from DCC'20, the Ninth International Conference on Design Computing & Cognition (http://dccconferences.org/dcc20/).
Design is a fundamentally important topic in disciplines ranging from the more commonly associated fields of engineering, information technology and architecture, to emerging areas in the social sciences and life sciences. Design research aims to develop an understanding of designing and to produce models that can be used to aid designing.
Design research can be carried out in variety of ways. It can be viewed as largely an empirical endeavor in which experiments are designed and executed in order to test some hypothesis about some design phenomenon or design behavior. This is the approach adopted in cognitive science. The results of such research can form the basis of a computational model. A second view is that design research can be carried out by positing axioms and then deriving consequences from them. If the axioms can be mapped onto design situations, then the consequences should follow. This is the approach adopted in mathematics and logic and forms the basis of a small but powerful area in design research. A third view, and the most common one in the computational domain, is that design research can be carried out by conjecturing design processes, constructing computational models of those processes and then examining the behaviors of the resulting computational systems.
Topics in design computing and cognition include, but are not limited to:
Agent-based modelling in design
Artificial intelligence in design
Big Data in design
Biologically-inspired and analogical design
Collaborative design
Collective design
Cognitive theories applied to design
Computational social science applied to design
Computational theories applied to design
Design cognition and design education
Design creativity
Design theory
Design in practice
Evolutionary approaches in design
Games and design
Human cognition in design
Learning from human designers
Machine learning in design
Multi-modal design
Neuro-physiological Measures in design
Situated computing in design
VR/AR technologies for design
Visual and spatial reasoning in design