Non-representational art–such as works by Wassily Kandinsky, Joan Mitchell, Willem de Kooning, etc.–showcases diverse artistic expressions and challenges viewers with its interpretive open-endedness and lack of a clear mapping to our everyday reality. Human cognition and perception nonetheless aid us in making sense of, reasoning about, and discussing the perceptual features prevalent in such non-representational art. While there have been various Computational Creative systems capable of generating representational artwork, only a few existing Computational (Co) Creative systems for visual arts can produce nonrepresentational art. How would a co-creative AI that incorporates elements of the human visual perception theory be able to collaborate with a human in co-creating a nonrepresentational art? This paper explores this challenge in detail, describes potential machine learning and non-machine learning approaches for designing an AI agent and introduces a new web-based, multi-agent AI drawing application, called Drawcto, capable of co-creating non-representational artwork with human collaborators.

Playing video games can be a highly creative activity, requiring individuals to engage in creative behaviors like content creation, collaborative building, problem solving, etc.(Green and Kaufman 2015; Blanco-Herrera, Gentile, and Rokkum 2019). A model of creativity within AI agents may support new forms of creative gameplay and new applications of AI in game spaces. Inspired by this potential, we focus on exploring a specific creative interaction modality that has its roots in popular sketch-based games like Pictionary or web games like Skribbl. io (mel 2011). Previous research with these games has been limited to the training and development of computationally creative agents (Bhunia et al. 2020; Sarvadevabhatla et al. 2018); our aim is to develop a co-creative system for co-creating non-objective visual art that seeks to invoke the properties of human-computer cocreativity in ways applicable to the study, creation, and play of digital and analog games involving creative aspects. Computational Creativity (CC) in the visual arts has gained attention since the early days of AARON (Cohen 1995). Over the years, researchers have developed various