An Alliance With a Machine
In this research, I built a genetic algorithm (GA) that I believe is productive and creative. It creates a different table design on each trial. Some of the results tend to look similar to each other. This means, they converge into the same area in the search space. I run this algorithm 138 times and picked up 9 results that look different from each other. Some of the examples could have evolved further to fully develop the properties of the type it belongs to.
The fitness function of this GA has two criteria. The first criterion questions how suitable the table is to its function. In the example of a table, the GA searches for the individuals who are more suitable to serve as a table. The second criterion questions how the table is behaving its environment. In this case, the only environmental force is gravity and the GA searches for the individuals who can stand and carry its tabletop.