Computational creativity: generative creature design for concept art

Original article was published by Kyle Huang on Artificial Intelligence on Medium


I propose a new MABA-MABA list for modern challenges that are mostly knowledge-based. We can have the machines do the first 70% of jobs and have humans pick up the last 30%. Machines are good at solving well-defined problems with their strengths: speed, precision, variation, scaling, and sense; On the other hand, humans are good at jobs that are not well-define with their strengths: design, empathy, and generalization. As teamwork, we can change the order of process, such as man-machine-man, machine-man-machine, and machine-machine-man.

New Creative-thinking workflow

In the early stage of creative thinking, the target is usually uncertain. This makes it impossible for machines to implement creative thinking. But what if we can dismantle each step of creative thinking and allocate the tasks according to the new MABA-MABA list? As we know, there are four stages in the thinking process:

Preparation

The preparation step consists of observing, listening, asking, reading, collecting, comparing, contrasting, analyzing, and relating all kinds of objects and information.

Incubation

The incubation process is both conscious and unconscious. This step involves thinking about parts and relationships, reasoning, and often a fallow period.

Illumination

Inspirations very often appear during this fallow period [of incubation]. This probably accounts for the popular emphasis on releasing tensions in order to be creative.

Verification

The step labeled verification is a period of hard work. This is the process of converting an idea into an object or into an articulated form.

I think that there is an opportunity to have machines that assist humans in the first two steps of the creative thinking process: preparation and incubation. As we know, uncertainty in a creative project usually stops people from delivering results on time because there are too many possibilities, and people change their minds until the last minutes. What if we can build a generative design system for problem-solving processes of abduction and induction? This can help us decrease the time we spent on preparation and incubation; therefore, it “accelerate” the “AHA-moment.”