Procedural content generation in video games has a long history. Existing procedural
content generation methods, such as search-based, solver-based, rule-based and grammar …

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 …

Georgios N. Yannakakis Julian Togelius Page 1 Artificial Intelligence and Games Georgios N.
Yannakakis Julian Togelius Page 2 Artificial Intelligence and Games Page 3 Georgios N …

Hundreds of millions of people play computer games every day. For them, game content—
from 3D objects to abstract puzzles—plays a major entertainment role. Manual labor has so …

Quality-diversity (QD) algorithms search for a set of good solutions which cover a space as
defined by behavior metrics. This simultaneous focus on quality and diversity with explicit …

The procedural generation of video game levels has existed for at least 30 years, but only
recently have machine learning approaches been used to generate levels without specifying …

Over the past few years, rapid developments in AI have resulted in new models capable of
generating high-quality images and creative artefacts, most of which seek to fully automate …

Tanagra is a mixed-initiative tool for level design, allowing a human and a computer to work
together to produce a level for a 2-D platformer. An underlying, reactive level generator …

This volume covers both the art and the technology of game AI. It includes core algorithms
that you'll need to succeed, such as behavior trees, utility theory, spatial representation, path …

This paper presents the use of design grammars to evolve playable 2D platform levels
through grammatical evolution (GE). Representing levels using design grammars allows …