DOTA 2 bot competition
(2019) In IEEE Transactions on Games 11(3). p.285-289- Abstract
Multiplayer online battle arena (MOBA) games are a recent huge success both in the video game industry and the international eSports scene. These games encourage team coordination and cooperation, short and long-term planning, within a real-time combined action and strategy gameplay. Artificial intelligence (AI) and computational intelligence (CI) in games research competitions offer a wide variety of challenges regarding the study and application of AI techniques to different game genres. These events are widely accepted by the AI/CI community as a sort of AI benchmarking that strongly influences many other research areas in the field. This paper presents and describes in detail the Dota 2 (Defense of the Ancients 2) Bot competition... (More)
Multiplayer online battle arena (MOBA) games are a recent huge success both in the video game industry and the international eSports scene. These games encourage team coordination and cooperation, short and long-term planning, within a real-time combined action and strategy gameplay. Artificial intelligence (AI) and computational intelligence (CI) in games research competitions offer a wide variety of challenges regarding the study and application of AI techniques to different game genres. These events are widely accepted by the AI/CI community as a sort of AI benchmarking that strongly influences many other research areas in the field. This paper presents and describes in detail the Dota 2 (Defense of the Ancients 2) Bot competition and the Dota 2 AI framework that supports it. This challenge aims to join both the MOBAs and AI/CI game competitions, inviting participants to submit AI controllers for the successful MOBA Dota 2 to play in 1v1 matches, which aims for fostering research on AI techniques for real-time games. The Dota 2 AI framework makes use of the actual Dota 2 game modding capabilities to enable to connect external AI controllers to actual Dota 2 game matches using the original F2P game.
(Less)
- author
- Font, Jose M. and Mahlmann, Tobias LU
- organization
- publishing date
- 2019
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Artificial intelligence (AI), Computational intelligence (CI), Game competition framework, Multiplayer online battle arena (MOBA)
- in
- IEEE Transactions on Games
- volume
- 11
- issue
- 3
- article number
- 2834566
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:85089029333
- ISSN
- 2475-1502
- DOI
- 10.1109/TG.2018.2834566
- language
- English
- LU publication?
- yes
- id
- 478099b0-a32a-42c7-976f-da025cd941ff
- date added to LUP
- 2020-08-17 09:16:05
- date last changed
- 2022-04-19 00:13:07
@article{478099b0-a32a-42c7-976f-da025cd941ff,
abstract = {{<p>Multiplayer online battle arena (MOBA) games are a recent huge success both in the video game industry and the international eSports scene. These games encourage team coordination and cooperation, short and long-term planning, within a real-time combined action and strategy gameplay. Artificial intelligence (AI) and computational intelligence (CI) in games research competitions offer a wide variety of challenges regarding the study and application of AI techniques to different game genres. These events are widely accepted by the AI/CI community as a sort of AI benchmarking that strongly influences many other research areas in the field. This paper presents and describes in detail the Dota 2 (Defense of the Ancients 2) Bot competition and the Dota 2 AI framework that supports it. This challenge aims to join both the MOBAs and AI/CI game competitions, inviting participants to submit AI controllers for the successful MOBA Dota 2 to play in 1v1 matches, which aims for fostering research on AI techniques for real-time games. The Dota 2 AI framework makes use of the actual Dota 2 game modding capabilities to enable to connect external AI controllers to actual Dota 2 game matches using the original F2P game.</p>}},
author = {{Font, Jose M. and Mahlmann, Tobias}},
issn = {{2475-1502}},
keywords = {{Artificial intelligence (AI); Computational intelligence (CI); Game competition framework; Multiplayer online battle arena (MOBA)}},
language = {{eng}},
number = {{3}},
pages = {{285--289}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Games}},
title = {{DOTA 2 bot competition}},
url = {{http://dx.doi.org/10.1109/TG.2018.2834566}},
doi = {{10.1109/TG.2018.2834566}},
volume = {{11}},
year = {{2019}},
}