Would Chuck Norris Certainly Win the Hunger Games? Simulating the Result Reliability of Battle Royale Games Through Agent-Based Models. (August 2020)

• Record Type: Journal Article
• Authors: Rosenbusch, Hannes; Röttger, Jonas; Rosenbusch, David
• Is Part Of: Simulation & gaming. Volume 51:Number 4(2020)
• Page Start: 461
• Page End: 476
• Publication Date: 2020-08
• Subjects: agent-based modeling -- Battle Royale -- predictability -- tournaments -- video games; Social sciences -- Study and teaching -- Periodicals; Simulation methods -- Periodicals; Game theory -- Periodicals; Sciences sociales -- Étude et enseignement -- Périodiques; Simulation, Méthodes de -- Périodiques; Jeu de rôle -- Périodiques; Éducation; Jeu d'entreprise; Jeu de simulation; Méthode de simulation; Sciences sociales; Théorie des jeux; Périodique électronique (Descripteur de forme); Ressource Internet (Descripteur de forme); 003.3
• DOI: 10.1177/1046878120914336
• Languages: English
• ISSNs: 1046-8781

Abstract

Background. The amount ofrandom chance involved in multiplayer competitions varies depending on the structure of the competition. A hugely popular mode of competition is theBattle Royale, in which a group of participants semi-randomly encounters and battles each other until only one player is left. We utilizedcomputer simulations to investigate how strongly the outcomes of different Battle Royale formats reflect the actual distribution of skill among the players. Further, we investigated which game features affect the congruency between skills and results. Method. We build agent-based models in NETLOGO to simulate the outcomes of different Battle Royale formats. Results. Our results consistently forwarded that outcomes from Battle Royale are only weakly aligned with actual player skills. Conclusion. Our findings suggest that many forms of Battle Royale involve substantially moreluck than other sports or e-sports competitions. Further, game developers should note that introducing newgame features can entail both higher and lower involvement of skill over luck, and that these features can be tuned to obtain a desired level of uncertainty.