Essays about: "game flow"
Showing result 21 - 25 of 68 essays containing the words game flow.
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21. Creating two-dimensional rivers from spline curves
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : This study is concerned with digital two-dimensional rivers for games. Specifically the aim is to create a river shape from the basis of a spline curve and make it look like a river with a water flow-rate. READ MORE
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22. A Scalability and Performance Evaluation of Precomputed Flow FieldMaps for Multi-Agent Pathfinding
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The A* algorithm is a well-established pathfinding technique frequently used in video game development. However, a disadvantage of the A* algorithm is that it becomes computationally inefficient and impractical to utilize whenthousands of agents demand an optimal path. READ MORE
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23. Development of digital sales processes with help of the See-Think-Do-Care model
University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronikAbstract : Digital commerce is a natural part of our everyday life. To fast and easily be able to make purchases from our home without stress has become a matter of course for us. But the new way to make purchases places new demands on the sales, not least at the important customer meeting. READ MORE
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24. How to develop a minimalist, fun and engaging climb/sneak/assassination game with flow in Unreal Engine 4
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : A lot of research has been done on creating flow, absorption, immersion, and engagement in videogames especially in the past decade. In this report I will propose game design choices which induceflow state in players, and analyzing the creation of a stealth assassination game in Unreal Engine. READ MORE
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25. MULTI-AGENT REINFORCEMENT LEARNING WITH APPLICATION ON TRAFFIC FLOW CONTROL
University essay from Uppsala universitet/Statistiska institutionenAbstract : Traffic congestion diminish driving experience and increases the CO2 emissions. With the rise of 5G and machine learning, the possibilities to reduce traffic congestion are endless. This thesis aims to study if multi-agent reinforcement learning speed recommendations on a vehicle level can reduce congestion and thus control traffic flow. READ MORE