Several methods are available to converge ideas, choosing concepts more suitable for the problem to be solved. Relations between concepts and combination of ideas are limited to time constraints and designers’ cognition during decision-making meetings, let some possible choices not available for discussion. Understanding those constraints, is paramount to propose approaches that take advantage of current technology advances. Nowadays, computers can storage high amount of data and computational algorithms may infer combinations not considered before by humans. Taking this perspective, this text investigates the computational generative design as a tool to evaluate patterns emerged in the ideation phase of a design team creation. Designers can benefit of our approach in the ideation phases of the design process to have insights, unusual and disrupted ideas facilitated by technology.
CITATION STYLE
Paraguai, L., Candello, H., & Costa, P. (2017). Collaborative system for generative design: Manipulating parameters, generating alternatives. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10288 LNCS, pp. 727–739). Springer Verlag. https://doi.org/10.1007/978-3-319-58634-2_52
Mendeley helps you to discover research relevant for your work.