Pedagogical Evolved Art: An Examination and Results of the Innopolis Al Art Contest

摘要

Evolutionary Algorithms (EA) capacitate a myriad of possibilities and creativity. Therefore, while teaching evolutionary programming to students of Computer Science, we decided to equip them with the technical details and then let them explore the creative aspects themselves. As part of the introductory course on Artificial Intelligence, an evolutionary generation of art is an assignment The teaching goals were to inform students of creative aspects of EA as well as invoke critical thinking and analysis in them. The students generated images via EA, and the only restriction was on the pixel size for input. The assignment was well-received, despite its complexity. Students engaged with the art generation and felt confident in expressing their perspectives of creativity and art The assignment evaluation as a contest allowed for judges from diverse domains such as Computer scientists and artists. The goals of the course are met as the students were trained not only in technical details but also realized the capacity and generative power of algorithms, as they practically simulated and expressed their creative thoughts via this contest Furthermore, the students engaged with the philosophical foundations of computational creativity effectively by the design process, and a report completed along with the work required them to develop their own artistic exegesis of the algorithm.