The scope for the new journal will be “The IEEE TRANSACTIONS ON GAMES publishes original high-quality articles covering scientific, technical, and engineering aspects of games.”
Journal Citation Metrics Journal Citation Metrics such as Impact Factor, Eigenfactor Score™ and Article Influence Score™ are available where applicable. Each year, Journal Citation Reports© (JCR) from Thomson Reuters examines the influence and impact of scholarly research journals. JCR reveals the relationship between citing and cited journals, offering a systematic, objective means to evaluate the world's leading journals. Find out more about IEEE Journal Rankings.
Call for Nominations / Applications for the position of Editor-in-Chief of the IEEE Transactions on Games
The IEEE Transactions on Games (ToG) publishes original high-quality articles covering scientific, technical, and engineering aspects of games.
The IEEE CIS Executive Committee has formed an Adhoc Search Committee to invite nominations/applications for the position of Editor-in-Chief for ToG. The Editor-in-Chief appointment is for a 2-year term starting 1 January 2022.
Nominees/applicants should be dedicated volunteers with outstanding research profiles and extensive editorial experience. The nomination/application package should include complete CV along with a separate description (max 300 words/topic) on each of the following items:
Summary of publishing experience in IEEE journals/magazines;
IEEE Volunteer Experience;
Current service and administrative commitments;
Networking with the Community;
Challenges, if any, faced by the publication, and how to deal with them;
Why the candidate considers himself/herself fit for this position?
Selected article from IEEE Transactions on Games
Informed Hybrid Game Tree Search for General Video Game Playing , by T. Joppen, M. U. Moneke, N. Schröder, C. Wirth and J. Fürnkranz, in IEEE Transactions on Games, vol. 10, no. 1, pp. 78-90, March 2018.
Abstract: In this paper, we introduce a universal game playing agent that is able to successfully play a wide variety of video games. It combines the strengths of Monte Carlo tree search with conventional heuristic search into a single hybrid search agent, which is able to select the appropriate strategy based on its observations about the game dynamics. In particular, the agent learns a knowledge base which provides the agent with information such as an approximate transition function, the type of agents and objects that participate in the game and the possible effects of interacting with them, heuristics for focusing and pruning the search, and more. This hybrid strategy proved to be successful in the 2015 General Video Game Competition, in which our agent emerged as the clear winner.