Showdown AI competition

Scott Lee; Julian Togelius

doi:10.1109/CIG.2017.8080435

Showdown AI competition

Scott Lee, Julian Togelius

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We present the Showdown AI Competition, a game-based AI competition built around a clone of the popular game Pokemon. This is a game of turn-based team battle, where the objective is to defeat an opponent team using clever combinations of creatures and their abilities. The gameplay is reminiscent of computer role-playing game battles and collectible card games. The game has characteristics, such as the combination of turn- based gameplay and partial observability, that are unusual in current game-based AI competitions and therefore offers a fresh challenge.

Original language	English (US)
Title of host publication	2017 IEEE Conference on Computational Intelligence and Games, CIG 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	191-198
Number of pages	8
ISBN (Electronic)	9781538632338
DOIs	https://doi.org/10.1109/CIG.2017.8080435
State	Published - Oct 23 2017
Event	2017 IEEE Conference on Computational Intelligence and Games, CIG 2017 - New York, United States Duration: Aug 22 2017 → Aug 25 2017

Publication series

Name	2017 IEEE Conference on Computational Intelligence and Games, CIG 2017

Other

Other	2017 IEEE Conference on Computational Intelligence and Games, CIG 2017
Country/Territory	United States
City	New York
Period	8/22/17 → 8/25/17

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Media Technology

Access to Document

10.1109/CIG.2017.8080435

Cite this

Showdown AI competition. / Lee, Scott; Togelius, Julian.
2017 IEEE Conference on Computational Intelligence and Games, CIG 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 191-198 8080435 (2017 IEEE Conference on Computational Intelligence and Games, CIG 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Lee, S & Togelius, J 2017, Showdown AI competition. in 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017., 8080435, 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017, Institute of Electrical and Electronics Engineers Inc., pp. 191-198, 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017, New York, United States, 8/22/17. https://doi.org/10.1109/CIG.2017.8080435

@inproceedings{d9775e3b9a034ac28cd2e8d0aa5ee0d6,

title = "Showdown AI competition",

abstract = "We present the Showdown AI Competition, a game-based AI competition built around a clone of the popular game Pokemon. This is a game of turn-based team battle, where the objective is to defeat an opponent team using clever combinations of creatures and their abilities. The gameplay is reminiscent of computer role-playing game battles and collectible card games. The game has characteristics, such as the combination of turn- based gameplay and partial observability, that are unusual in current game-based AI competitions and therefore offers a fresh challenge.",

author = "Scott Lee and Julian Togelius",

year = "2017",

month = oct,

day = "23",

doi = "10.1109/CIG.2017.8080435",

language = "English (US)",

series = "2017 IEEE Conference on Computational Intelligence and Games, CIG 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "191--198",

booktitle = "2017 IEEE Conference on Computational Intelligence and Games, CIG 2017",

note = "2017 IEEE Conference on Computational Intelligence and Games, CIG 2017 ; Conference date: 22-08-2017 Through 25-08-2017",

}

TY - GEN

T1 - Showdown AI competition

AU - Lee, Scott

AU - Togelius, Julian

PY - 2017/10/23

Y1 - 2017/10/23

N2 - We present the Showdown AI Competition, a game-based AI competition built around a clone of the popular game Pokemon. This is a game of turn-based team battle, where the objective is to defeat an opponent team using clever combinations of creatures and their abilities. The gameplay is reminiscent of computer role-playing game battles and collectible card games. The game has characteristics, such as the combination of turn- based gameplay and partial observability, that are unusual in current game-based AI competitions and therefore offers a fresh challenge.

AB - We present the Showdown AI Competition, a game-based AI competition built around a clone of the popular game Pokemon. This is a game of turn-based team battle, where the objective is to defeat an opponent team using clever combinations of creatures and their abilities. The gameplay is reminiscent of computer role-playing game battles and collectible card games. The game has characteristics, such as the combination of turn- based gameplay and partial observability, that are unusual in current game-based AI competitions and therefore offers a fresh challenge.

UR - http://www.scopus.com/inward/record.url?scp=85039986074&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85039986074&partnerID=8YFLogxK

U2 - 10.1109/CIG.2017.8080435

DO - 10.1109/CIG.2017.8080435

M3 - Conference contribution

AN - SCOPUS:85039986074

T3 - 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017

SP - 191

EP - 198

BT - 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Conference on Computational Intelligence and Games, CIG 2017

Y2 - 22 August 2017 through 25 August 2017

ER -

Showdown AI competition

Abstract

Publication series

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this