Search results for "systemer"
showing 10 items of 132 documents
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…
Semi-automated web resource discovery and analysis : an approach based on interactive machine learning principles
2001
Masteroppgave i informasjons- og kommunikasjonsteknologi 2001 - Høgskolen i Agder, Grimstad This report presents a semi-automated approach to web Resource Discovery based on an architecture in which both human learning and machine learning is integrated in the same model. The fundamental idea of the semi-automated approach is to let the machine automatically identify semantic ambiguities and ask a human analyst to resolve them. An application prototype is developed that demonstrates an experimental Focused Crawler algorithm and the use of the ISO 13250 Topic Map standard for the purpose of knowledge representation. The main area of deployment is for use in Competitive Intelligence activitie…
Ontology guided financial knowledge extraction from semistructured information sources
2003
Masteroppgave i informasjons- og kommunikasjonsteknologi 2003 - Høgskolen i Agder, Grimstad Intermedium has an agent searching the Web for financial articles defined by certain criteria, for instance an industrial domain of interest. A portal service for reading and searching these articles, are available for the customers. The sources searched among are secondary sources, like online newspapers. Secondary sources publish information more frequently, and other information than can be found in annual reports etc, like predictions. Finding and comparing financial figures in the articles are often time consuming and hard to compare with each other. Having the financial figures, and what these …
Buffering principles for mobile multimedia over IP
2001
Masteroppgave i informasjons- og kommunikasjonsteknologi 2001 - Høgskolen i Agder, Grimstad This thesis suggests a test-bed for reviewing queue algorithms suitable for IP based mobile multimedia services. Subjective performance quality obtained in the test-bed was analysed using a network performance monitor tool. In order to evaluate possible services for use in the test-bed, a comprehensive survey was conducted. The survey revealed that a variety of categorization methods for electronic services exist. However, none of them were targeted at mobile multimedia services. Based on the different methods a framework of six service classes were proposed. Together, these classes provide a useful …
Agentbaserte tjenester i finanssektoren : en undersøkelse av mulighetene for integrering av informasjon fra ulike kilder, samt presentasjon av en val…
1999
Masteroppgave i informasjons- og kommunikasjonsteknologi 1999 - Høgskolen i Agder, Grimstad Denne hovedoppgaven tar for seg informasjonsintegreringsproblemet på Internett. Problemene med å utnytte informasjonen som finnes på Internett er generelle, og også finanssektoren lider under dem, både kunder og bedrifter. I oppgaven foretar jeg en kartlegging av de foreliggende forskningsresultatene som skal lette integrering og innhenting av informasjon. Resultatene er mange siden problemet er stort, og mange har dedikert seg til denne forskningen. Av alle de mulighetene jeg her finner, er det derimot få som tas i bruk i dagens finanssektor på Internett. Den neste undersøkelsen jeg foretar i oppgav…
Utnyttelse av datavarehus ved monitorering av kjøretøy
2003
Masteroppgave i informasjons- og kommunikasjonsteknologi 2003 - Høgskolen i Agder, Grimstad I denne rapporten blir det sett nærmere på datavarehus-teknologi. Et datavarehus er en database hvor man samler data fra flere systemer og legger dem best mulig til rette for analyse. I dette ligger det at man tar vare på alle data, kobler dem til et tidspunkt og organiserer de slik at de er lette å søke i. Beslutningstagere får på denne måten tilgang til historiske data og bedre anledning til å gjennomføre avanserte analyser av dataene. I tillegg vil genereringen av rapporter og søk i datamengden kunne utføres separat fra de vanlige systemene, og vil dermed ikke påvirke responstiden til disse. Rappo…