Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/81553
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Perez-Liebana, Diego | - |
dc.contributor.author | Liu, Jialin | - |
dc.contributor.author | Khalifa, Ahmed | - |
dc.contributor.author | Gaina, Raluca D. | - |
dc.contributor.author | Togelius, Julian | - |
dc.contributor.author | Lucas, Simon M. | - |
dc.date.accessioned | 2021-09-28T10:12:22Z | - |
dc.date.available | 2021-09-28T10:12:22Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Perez-Liebana, D., Liu, J., Khalifa, A., Gaina, R. D., Togelius, J., & Lucas, S. M. (2019). General video game AI : a multitrack framework for evaluating agents, games, and content generation algorithms. IEEE Transactions on Games, 11(3), 195-214. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/81553 | - |
dc.description.abstract | General video game playing aims at designing an agent that is capable of playing multiple video games with no human intervention. In 2014, the General Video Game Artificial Intelligence (GVGAI) competition framework was created and released with the purpose of providing researchers a common open-source and easy-to-use platform for testing their artificial intelligence (AI) methods with potentially infinity of games created using the video game description language (VGDL). The framework has been expanded into several tracks during the last few years to meet the demands of different research directions. The agents are required either to play multiple unknown games with or without access to game simulations, or to design new game levels or rules. This survey paper presents the VGDL, the GVGAI framework, existing tracks, and reviews the wide use of GVGAI framework in research, education, and competitions five years after its birth. A future plan of framework improvements is also described. | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | Institute of Electrical and Electronics Engineers | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Artificial intelligence | en_GB |
dc.subject | Computer games | en_GB |
dc.subject | Computer simulation | en_GB |
dc.subject | Free computer software | en_GB |
dc.title | General video game AI : a multitrack framework for evaluating agents, games, and content generation algorithms | en_GB |
dc.type | article | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.1109/TG.2019.2901021 | - |
dc.publication.title | IEEE Transactions on Games | en_GB |
Appears in Collections: | Scholarly Works - InsDG |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
General_Video_Game_AI_A_Multitrack_Framework_for_Evaluating_Agents_Games_and_Content_Generation_Algorithms_2019.pdf Restricted Access | 801.89 kB | Adobe PDF | View/Open Request a copy |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.