Sökning: "Non Player Characters"
Visar resultat 1 - 5 av 36 uppsatser innehållade orden Non Player Characters.
1. Creation of a Virtual Reality Experience for the Virtual Conservation of The Flamman Theater Using Unreal Engine 4
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : The Flamman Theater identity was successfully digitally preserved for the cultural heritage of Gothenburg by creating a video game, while tested with pandemic restrictions. On the technical side, this project combines virtual reality, artificial intelligence and game mechanics to create an immersive atmosphere, inviting people to watch movies inside as the original theater was intended. LÄS MER
2. Game Characters and Attachment : To what extent do interactions facilitate or promote the player’s attachment to a non-player character in a pet simulator game?
Kandidat-uppsats, Uppsala universitet/Institutionen för speldesignSammanfattning : In this study, we attempt to test whether more mechanics cause players to become more attached to a simulated pet over time. In order to find this out, we created a pet simulator game, split it into four versions with different levels of interaction for the player, going from no interaction to three discrete interactions. LÄS MER
3. How does the perceived personality traits affect a player's choice of non-player characters?
Magister-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : The personality traits of NPC characters are key elements in the complex interactions within games. This study, based on the Big Five personality theory, aims to explore how the perceived personality of NPC characters influences player choices. LÄS MER
4. Ethics of Artificial Intelligence: Experimenting with Ethics and Autonomous Vehicle AI Principles in Gameplay
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This project investigated whether ethical AI can change gameplay to be more immersive, engaging and unpredictable. The game was developed using Behaviour Trees, A* Pathfinding and Finite State Machines to model ethical AI agents. This approach introduced ethical principles from philosophy and current autonomous systems to gameplay. LÄS MER
5. Training an Adversarial Non-Player Character with an AI Demonstrator : Applying Unity ML-Agents
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Game developers are continuously searching for new ways of populating their vast game worlds with competent and engaging Non-Player Characters (NPCs), and researchers believe Deep Reinforcement Learning (DRL) might be the solution for emergent behavior. LÄS MER