Sökning: "Deep Game design"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Deep Game design.

1. 1. "I don’t have too much experience with aging" : Methods for more impactful time skips in role playing games

   Master-uppsats, Uppsala universitet/Institutionen för speldesign

   Författare :Tieren Costello; [2023]
   Nyckelord :time; time in games; temporal frames; roleplaying; narrative; immersion; research through design;

   Sammanfattning : This study used a research through design method to examine time in roleplaying games, particularly with regards to the emotional impact of time skips as affected by various mechanical and narrative factors. The design in question drew from prior work in games, films, and other narrative works with time skips, based on the assumption that time skips can have a great emotional impact, but that impact may be lesser or greater depending on how it is handled. LÄS MER

3. 2. Training reinforcement learning model with custom OpenAI gym for IIoT scenario

   Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

   Författare :Pontus Norman; [2022]
   Nyckelord :Q-learning. Reinforcement Learning; OpenAI gym; Q-learning. Reinforcement Learning; OpenAI gym;

   Sammanfattning : Denna studie består av ett experiment för att se, som ett test, hur bra det skulle fungera att implementera en industriell gymmiljö för att träna en reinforcement learning modell. För att fastställa det här tränas modellen upprepade gånger och modellen testas. LÄS MER

4. 3. Stuck in a vault with magnetizing distractions : Using deep games to model a personal experience of loneliness

   Kandidat-uppsats, Uppsala universitet/Institutionen för speldesign

   Författare :Felix Almqvist; Erik Norstedt; [2021]
   Nyckelord :Video games; Loneliness; Deep games; Modeling emotions;

   Sammanfattning : Designing games around complex emotions and experiences can be seen as quite difficult for game designers. Therefore, this paper sought to research how to convey the emotional state of an individual through design based on a chosen experience. The chosen experience was the feeling of loneliness with connection to the fear of rejection. LÄS MER

5. 4. Conceal, don't feel : Representing emotional suppression through deep game design

   Kandidat-uppsats, Uppsala universitet/Institutionen för speldesign

   Författare :Alexandros Kokkinidis; Adam Berghäll; Emma Österlund; Hampus Paulsen; [2021]
   Nyckelord :Emotional Suppression; Anger; Game Design Theory; Deep Game design; Playtesting; Iterative Design;

   Sammanfattning : This paper follows the process of the authors using deep game design as means of expression by making a game that models the authors experience of anger suppression. It will be based on theories of psychology to define what suppressed emotions are. LÄS MER

7. 5. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Allan Andersen; Ilayda Yaman; [2020]
   Nyckelord :Digital Signal Processor; Hardware Accelerator; Machine Learning; Deep Learning; Recurrent Neural Networks; Gated Recurrent Unit; Technology and Engineering;

   Sammanfattning : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). LÄS MER