# Creative AI Through Evolutionary Computation

## TL;DR

This paper discusses how evolutionary computation can be a powerful approach for creative AI, leveraging large search spaces and parallel computing to generate novel solutions, potentially surpassing deep learning in creativity.

## Contribution

It highlights the potential of evolutionary computation as a scalable, parallelizable method for creative AI, emphasizing its advantages over traditional deep learning.

## Key findings

- Evolutionary algorithms excel in exploring complex, high-dimensional search spaces.
- Parallel computing enhances the efficiency and scalability of evolutionary methods.
- Creative AI can be effectively developed through population-based search techniques.

## Abstract

The main power of artificial intelligence is not in modeling what we already know, but in creating solutions that are new. Such solutions exist in extremely large, high-dimensional, and complex search spaces. Population-based search techniques, i.e. variants of evolutionary computation, are well suited to finding them. These techniques are also well positioned to take advantage of large-scale parallel computing resources, making creative AI through evolutionary computation the likely "next deep learning".