Browsing by Subject "Video game"

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    Progressive gameplay: emergent anticapitalism in story-driven video games
    (2023-11) Doğan, Taylanumut
    This thesis considers the potential of story-driven video games in promoting liberatory discourses. It examines Cyberpunk 2077, an action/roleplaying game set in a cyberpunk city rife with violence and social inequality; and Night in the Woods, an adventure game about a gothic mystery set in a small Rust Belt town. The thesis adopts a textual and formal approach in conjunction while analyzing the discourses of social liberation and their effectiveness in the interactive yet solitary experience of single-player gameplay through these two video games. In doing so, the thesis adopts a critical theoretical framework that considers these two video games in relation to the Spectacle of capitalist society and the forms of resistance adopted by the Situationist International, as well as the cultural materialist approach of Raymond Williams. Observing these approaches in narrative flow as well as player interactivity, this thesis aims to contribute to the body of thought that evaluates video games as potential sources for discourses of social liberation.
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    Realistic modeling of spectator behavior for soccer videogames with CUDA
    (2011) Ylmaz, E.; Molla, E.; Yıldız, C.; İşler V.
    Soccer has always been one of the most popular videogame genres. When designing a soccer game, designers tend to focus on the game field and game play due to the limited computational resources, and thus the modelling of virtual spectators is paid less attention. In this study we present a novel approach to the modeling of spectator behavior, which treats each spectator as a unique individual. We also propose an independent software layer for sport-based games that simply obtains the game status from the game engine via a simple messaging protocol and computes the spectator behavior accordingly. The result is returned to the game engine, to be used in the animation and rendering of the spectators. Additionally, we offer a customizable spectator knowledge base with well structured XML to minimize coding efforts, while generating individualized behavior. The employed AI is based on fuzzy inference. In order to overcome additional demand for computing realistic spectator behavior, we use GPU parallel computing with CUDA. © 2011 Elsevier Ltd. All rights reserved.