Semantic Descriptions for Logical Content Generation

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Human designers understand a range of potential purposes behind objects and configurations when creating content, which are only partially addressed in typical procedural content generation techniques. This paper describes our research into the provision and use of semantic information to guide logical solver-based content generation, in order to feasibly generate meaningful and valid content. Initial results show we can use answer set programming to generate basic roguelike dungeon layouts from a provided semantic knowledge base, and we intend to extend this to generate a range of other content types. By using semantic models as input for a content-agnostic generation system, we hope to provide more domain-general content generation.
LanguageEnglish
Title of host publicationProceedings of Foundations of Digital Games 2015
Pages1-3
Number of pages3
StatusPublished - 29 Dec 2015
EventFoundations of Digital Games 2015 - California, Pacific Grove, UK United Kingdom
Duration: 22 Jun 201525 Jun 2015

Conference

ConferenceFoundations of Digital Games 2015
CountryUK United Kingdom
CityPacific Grove
Period22/06/1525/06/15

Fingerprint

Semantics

Cite this

Smith, T., & Padget, J. (2015). Semantic Descriptions for Logical Content Generation. In Proceedings of Foundations of Digital Games 2015 (pp. 1-3)

Semantic Descriptions for Logical Content Generation. / Smith, Thomas; Padget, Julian.

Proceedings of Foundations of Digital Games 2015. 2015. p. 1-3.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Smith, T & Padget, J 2015, Semantic Descriptions for Logical Content Generation. in Proceedings of Foundations of Digital Games 2015. pp. 1-3, Foundations of Digital Games 2015, Pacific Grove, UK United Kingdom, 22/06/15.
Smith T, Padget J. Semantic Descriptions for Logical Content Generation. In Proceedings of Foundations of Digital Games 2015. 2015. p. 1-3
Smith, Thomas ; Padget, Julian. / Semantic Descriptions for Logical Content Generation. Proceedings of Foundations of Digital Games 2015. 2015. pp. 1-3
@inproceedings{32a83f1a6533427e94a8b1f4c86a38cb,
title = "Semantic Descriptions for Logical Content Generation",
abstract = "Human designers understand a range of potential purposes behind objects and configurations when creating content, which are only partially addressed in typical procedural content generation techniques. This paper describes our research into the provision and use of semantic information to guide logical solver-based content generation, in order to feasibly generate meaningful and valid content. Initial results show we can use answer set programming to generate basic roguelike dungeon layouts from a provided semantic knowledge base, and we intend to extend this to generate a range of other content types. By using semantic models as input for a content-agnostic generation system, we hope to provide more domain-general content generation.",
author = "Thomas Smith and Julian Padget",
year = "2015",
month = "12",
day = "29",
language = "English",
pages = "1--3",
booktitle = "Proceedings of Foundations of Digital Games 2015",

}

TY - GEN

T1 - Semantic Descriptions for Logical Content Generation

AU - Smith, Thomas

AU - Padget, Julian

PY - 2015/12/29

Y1 - 2015/12/29

N2 - Human designers understand a range of potential purposes behind objects and configurations when creating content, which are only partially addressed in typical procedural content generation techniques. This paper describes our research into the provision and use of semantic information to guide logical solver-based content generation, in order to feasibly generate meaningful and valid content. Initial results show we can use answer set programming to generate basic roguelike dungeon layouts from a provided semantic knowledge base, and we intend to extend this to generate a range of other content types. By using semantic models as input for a content-agnostic generation system, we hope to provide more domain-general content generation.

AB - Human designers understand a range of potential purposes behind objects and configurations when creating content, which are only partially addressed in typical procedural content generation techniques. This paper describes our research into the provision and use of semantic information to guide logical solver-based content generation, in order to feasibly generate meaningful and valid content. Initial results show we can use answer set programming to generate basic roguelike dungeon layouts from a provided semantic knowledge base, and we intend to extend this to generate a range of other content types. By using semantic models as input for a content-agnostic generation system, we hope to provide more domain-general content generation.

UR - http://www.fdg2015.org/proceedings.html

M3 - Conference contribution

SP - 1

EP - 3

BT - Proceedings of Foundations of Digital Games 2015

ER -