Search results for "420"
showing 10 items of 422 documents
Playing endgame chess with the Tsetlin Machine
2020
Master's thesis in Information- and communication technology (IKT590) The report is about training an Artificial Intelligence(AI) that is able to play out endgames, using the existing solved endgame of chess to train the Tsetlin Machine on. This report describes the methods used to train and test a Tsetlin Ma-chine using both the convolutional and multiclass implementation. We have further tested out different methods to handle the data it trains on to investigate what methods work best. Where these methods are; to split the data for two machines for either white or black starting player, transforming the data to only be from one starting players perspective and one splitting based on resul…
Lost in Draft: Investigating Game Balance in Multiplayer Online Battle Arena Drafting
2021
Master´s thesis in Information and Communication Technology (IKT590) University of Agder, Grimstad This thesis explores modern machine learning solutions to turn-basedstrategy games. In particular, we explore the possibilities of equalizing the playing field for both teams in the draft phase of Defense of the Ancients 2 (Dota 2) and League of Legends (LoL), with both games being giants in the multi-million dollar esports industry. The thesis covers the Multiplayer Online Battle Arena video game genre and the draft phase the games use. We also discuss the tech-nology used to address the problem, as well as the basic concepts of modern machine learning that allowed this technology to arise. W…
Background noise classification and denoising of audio signals utilizing empirical wavelet transform and deep learning
2021
Master´s thesis in Information and Communication Technology (IKT590), University of Agder, Grimstad The importance of sound and speech cannot in human life cannot be overstated. Ambient sound informs us about our surroundings and warn us of potential dangers, such as a car approaching from behind. One of the most common modes of communication is speech. However, if it is contaminated with background noise, it may result in data loss. Recent advances in artificial intelligence enable machines to recognize and classify sound patterns, as well as remove complex background noise from contaminated speech. This thesis investigates a method for improving existing background noise classification an…
Playing the game of Hex with theTsetlin Machine and tree search
2020
Master's thesis in Information- and communication technology (IKT590) Hex is an abstract mathematical board game where the players aim to build a connection of pieces, traversing the board from edge to edge. The game requires the use of certain patterns to be played at a high level. Artificially Intelligent Hex players have had success using Monte Carlo tree search and current research efforts have introduced neural networks. This thesis looks into the recent Tsetlin Machine pattern-recognition technique, relying on interpretability, in combination with the Monte Carlo tree search method to play the game of Hex. A supervised learning approach has been employed in an effort to teach the Tset…
The Application of the Tsetlin Machine in Checkers
2020
Master's thesis in Information- and communication technology (IKT590) The Tsetlin Machine has shown promising results in the domain of board games such as Axis& Allies, showing that the Tsetlin Machine may be a contender to more well-known machine learning algorithms. This research aimed to find out how suitable the Tsetlin Machine is for the domain of Checkers, and how to best utilize it for the purpose of playing Checkers. In order to research this, the following questions had to be answered: Which Tsetlin Machine Configuration is best suited for predicting the results of Checkers games? To what degree can the Tsetlin Ma-chine predict the results of Checkers games? How well can a Checkers…
Generating Levels and Playing Super Mario Bros. with Deep Reinforcement Learning Using various techniques for level generation and Deep Q-Networks fo…
2020
Master's thesis in Information- and communication technology (IKT590) This thesis aims to explore the behavior of two competing reinforcement learning agents in Super Mario Bros. In video games, PCG can be used to assist human game designers by generating a particular aspect of the game. A human game designer can use generated game content as inspiration to build further upon, which saves time and resources. Much research has been conducted on AI in video games, including AI for playing Super Mario Bros. Additionally, there exists a research field focused on PCG for video games, which includes generation of Super Mario Bros. levels. In this thesis, the two fields of research are combined to…
Analysis of security for IoT : A review of architecture and cryptographic algorithms
2017
Master's thesis Information- and communication technology IKT590 - University of Agder 2017 Internet of things has been a hot topic for some time now. The huge number of new devices and the limited size of these devices introduce some new problems. Recent event show a trend where IoT devices are being utilized more frequently in cyber-attacks. Home automation is becoming highly attractive and more and more people see the benefits of connecting household objects to the internet. This report will take a closer look at the cryptographic part of securing communication between IoT devices for smart homes as well as reviewing the architecture. A literature review will be performed to highlight pr…
Expanding Convolutional Tsetlin Machine for Images with Lossless Binarization
2020
Master's thesis in Information- and communication technology (IKT590) Deep convolutional neural networks (CNN) is known to be efficient in image classification but non-interpretable. To overcome the black box nature of CNN a derivative of the Tsetlin automata, the convolutional Tsetlin machine (CTM) which is transparent and interpretable, was developed. As CTM handles binary inputs, it is important to transform the input images into binary form with minimum information loss so that the CTM can classify them correctly and efficiently. Currently, a relatively lossy mechanism, called adaptive Gaussian thresholding, was employed for binarization. To retain as much information as possible, in th…
Selvorganiserende læring av trafikkategorier i Bayesianskpakkebasert IDS
2005
Masteroppgave i informasjons- og kommunikasjonsteknologi 2005 - Høgskolen i Agder, Grimstad Detektering av uønsket trafikk i et datanettverk utføres i dag av systemer med mer eller mindre grad av manuelt vedlikehold. Slikt vedlikehold består typisk av nedlasting av oppdateringer som bidrar til deteksjon av de nyeste typene angrep. For å unngå dette manuelle vedlikeholdet forskes det rundt systemer som skal være i stand til å lære seg hva som er normal og hva som er unormal nettverkstrafikk i et datanettverk. Slike systemer er gjerne basert på en læringsalgoritme, som basert på et sett med treningsdata, kan ta beslutninger om hva som er normalt og ikke. Denne masteroppgaven ser på hvordan en…
Semi-automatic web resource discovery using ontology-focused crawling
2005
Masteroppgave i informasjons- og kommunikasjonsteknologi 2005 - Høgskolen i Agder, Grimstad The enormous amount of information available on the Internet makes it difficult to find resources with relevant information using regular breadth-first crawlers. Focused crawlers seek to exclusively find web pages that are relevant for the user, and avoid downloading irrelevant web pages. Ontologies have recently been proposed as a tool for defining the target domain for focused crawlers. In this project we have developed a prototype of an ontology-focused crawler. We have accomplished this by developing extra modules to the Java open source crawler Heritrix. In one of the modules we have developed, …