Distributed Cognition and Temporal Knowledge in League of Legends

Abstract

Elite video game competition provides a setting for studying how digitally connected teams handle massive amounts of information that no individual could manage on their own. This article discusses observations of the University of California, Irvine's scholarship League of Legends teams' practices and competitions from fall 2016 through spring 2017. The observations explore the nature of distributed cognition of time and temporal information in a high-pressure, competitive environment. The capacity and strategies of these teams to maintain high levels of coordination, while sitting at desktops for hours at a time, can provide insight into how other kinds of teams might learn to collaborate skillfully in networked settings.

Arquitectura de un Agente Racional para recomendar que objetos comprar en un videojuego tipo MOBA

“…A limitation commonly mentioned in research is how to introduce into machine learning models the synergies that must exist between players of the same team. Related to this question, the Team Composition category was created for those papers that seek objectives related to the roles of each player within a team [10] [62], the analysis of player behavior in the composition of a team [11] [71] [72] [64] [73], predicting the outcome of a game considering synergies between players [16] [74] or optimizing the construction of a team of players [34] [32] [12] [75] [67].…”