Overview / Usage

The Community Generated Design Language (cgen.dlang) is a collaborative design system developed for small communities (5 – 50 people) who want to generate a collection of the team created and computer mutated audio, visual, and emotional structures that are likely to be optimal reflections of a team’s aesthetic values. Such structures would capture the transmission history of aesthetics and can be used to form design language systems. Here, we theorize about heterogeneous teams and communities using the cgen-dlang application to design various products and components.

Methodology / Approach

cgen.dlang’s system architecture. Users interface with the cgen.dlang interface to design structures (seed design) that are functions of the underlying component library and associated grammar. Users also have the option of voting() on other user-generated structures and genetically generated structures.

Technologies Used

The implementation of the pass-effect depends on the application's infrastructure, as shown in figure 2. pass-effect's infrastructure relies on a cocktail of programming languages and three layers of computational abstraction. The Python programming language is used for general-purpose machine learning and message-passing-interfaces through the TensorFlow and Pytorch frameworks. Python supports the backend (BACKEND: evolutionary computation and database management) of the system through the Django and Flask libraries. JavaScript is used for user interface (UI) functionality through the React library and data visualization through the pj5.js library. HTML/CSS is used for UI content. This part of the pass-effect system makes up the frontend of the system.

Documents and Presentations

Repository

https://github.com/cgen-dlang/cgen-dlang

Other links

• Website