Sökning: "artificiell intelligens spel"
Visar resultat 16 - 20 av 53 uppsatser innehållade orden artificiell intelligens spel.
16. A Deep Neural Network Approach for Intersection Testing of Two 3D Meshes
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Neural Networks have mainly been used in behavior and gameplayrelated areas in games, but they have not yet been used specifically for intersection testing. This thesis explores the possibility to use deep neural networks for intersection testing of two 3D meshes. Objectives. LÄS MER
17. Deep Distributional Temporal Difference Learning for Game Playing
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Temporal difference learning is considered one of the most successful methods in reinforcement learning. Recent developments in deep learning have opened up a new world of opportunities. LÄS MER
18. Strategy Synthesis for Multi-Agent Systems with Imperfect Information and Imperfect Recall
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This report aims to study and compare currently available tools for uniform strategy synthesis in multi-player versus environment games of imperfect information and imperfect recall. These games are represented as a graph of game states, and goal sequences of states are typically represented using temporal logic formulae. LÄS MER
19. Adaptiv AI i spel och dess påverkan på det upplevda underhållningsvärdet
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : .... LÄS MER
20. Development of an Artificial Intelligent Software Agent using Artificial Intelligence and Machine Learning Techniques to play Backgammon Variants
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial Intelligence has seen enormous progress in many disciplines in the recent years. Particularly, digitalized versions of board games require artificial intelligence application due to their complex decision-making environment. Game developers aim to create board game software agents which are intelligent, adaptive and responsive. LÄS MER