Creativity and Artificial Intelligence: A Digital Art Perspective

TL;DR

This paper explores how various artificial intelligence techniques like machine learning, evolutionary programming, and soft computing can be applied to create and enhance digital art, highlighting opportunities in this interdisciplinary field.

Contribution

It provides an overview of AI methods relevant to digital art creation and discusses potential applications and opportunities for integrating AI into digital artistic processes.

Findings

AI techniques offer new creative possibilities in digital art.

Evolutionary algorithms can generate novel artistic designs.

Soft computing enables flexible and adaptive artistic systems.

Abstract

This paper describes the application of artificial intelligence to the creation of digital art. AI is a computational paradigm that codifies intelligence into machines. There are generally three types of artificial intelligence and these are machine learning, evolutionary programming and soft computing. Machine learning is the statistical approach to building intelligent systems. Evolutionary programming is the use of natural evolutionary systems to design intelligent machines. Some of the evolutionary programming systems include genetic algorithm which is inspired by the principles of evolution and swarm optimization which is inspired by the swarming of birds, fish, ants etc. Soft computing includes techniques such as agent based modelling and fuzzy logic. Opportunities on the applications of these to digital art are explored.