The focus of this survey is on research in applying evolutionary and other metaheuristic
search algorithms to automatically generating content for games, both digital and nondigital …

The rapid growth of human computation within research and industry has produced many
novel ideas aimed at organizing web users to do great things. However, the growth is not …

For sophisticated reinforcement learning (RL) systems to interact usefully with real-world
environments, we need to communicate complex goals to these systems. In this work, we …

This article pursues the insight that language models naturally enable an intelligent variation
operator similar in spirit to evolutionary crossover. In particular, language models of …

Deep neural networks (DNNs) have recently been achieving state-of-the-art performance on
a variety of pattern-recognition tasks, most notably visual classification problems. Given that …

In 1994, Karl Sims' evolved virtual creatures showed the potential of evolutionary algorithms
to produce natural, complex morphologies and behaviors [30]. One might assume that …

Large language models (LLMs) have taken the scientific world by storm, changing the
landscape of natural language processing and human-computer interaction. These powerful …

The development of generative AI has led to novel ways that technology can be integrated
into creative activities. However, this has also raised concerns about how human creators …