Towards the Automatic Optimisation of Procedural Content Generators

Cook, Michael, Gow, Jeremy and Colton, Simon (2017) Towards the Automatic Optimisation of Procedural Content Generators. 2016 IEEE Conference on Computational Intelligence and Games (CIG), 2016. pp. 270-277. ISSN 2325-4289

[thumbnail of Danesh_CIG16.pdf]
Danesh_CIG16.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial.

Download (923kB) | Preview
Official URL:

Abstract / Summary

Procedural generation is important to modern game development as both an artistic implement and an engineering tool. However, developing procedural generators and understand- ing how they work are both difficult tasks, and even more so for novice developers. In this paper we describe Danesh, a tool to help in analysing, changing and exploring procedural content generators. In particular, we describe several features in Danesh which help a user optimise their procedural generator towards a certain kind of output by automatically changing parameters and evaluating the effect it has on the generator. We compare different approaches to these tasks and describe our future intentions for Danesh’s automated features.

Item Type: Article
Identification Number: 10.1109/CIG.2016.7860424
ISSN: 2325-4289
Subjects: Computer Science, Information & General Works
Courses by Department: The Games Academy > Digital Games
Related URLs:
Depositing User: Simon Colton
Date Deposited: 27 Jun 2017 11:15
Last Modified: 11 Nov 2022 16:30


View Item View Item (login required)