Search results for "psbA"
showing 10 items of 25 documents
Molecular and morphological evidence for hybridization between endemic Canary Island Convolvulus
2007
Morphological data and molecular data from the chloroplast trnH-psbA region and nuclear ribosomal ITS region are used to test the hypothesis that the problematic Canary Island endemic Convolvulus floridus var. virgatus is a hybrid between the endemic species C. floridus and C. scoparius. Analysis of mean leaf length and width of 58 individuals indicates that accessions referable to C. floridus var. virgatus are intermediate between the parental taxa in leaf dimensions. Direct sequencing of the ITS region of C. scoparius and C. floridus revealed two species-specific ribotypes distinguished by 10 base differences. Examination of ITS chromatograms for putative hybrids revealed polymorphisms at…
Research on the impact of using interactive game based learning to teach mathematics
2005
Masteroppgave i informasjons- og kommunikasjonsteknologi 2005 - Høgskolen i Agder, Grimstad The number of students who study scientific subjects has continued to drop over a long period of time. Compared to 2004, there is a 12% decrease in High School students who study mathematics and a 5% decrease in applicants for technology studies at College and University level in 2005 [1]. These numbers concern employees of the technology sector as they have predicted a large need for mathematicians in the future [19]. The educational system is under constant change to take advantage of new educational methods that modern technology allows for. The Heriot Watt University in Scotland showed that the i…
TsetlinGo : Solving the game of Go with Tsetlin Machine
2020
Master's thesis in Information- and communication technology (IKT590) The Tsetlin Machine have already shown great promise on pattern recognition and text categorization. The board game GO is a highly complex game, and the Tsetlin Machine have not yet been tested extensively on strategic games like this. This thesis introduces TsetlinGO and aims to Solve the game of Go with Tsetlin Machine. For predicting the next moves a combination of Tsetlin Machine and Tree Search was used. In the thesis a 9x9 board size was used for the game of Go, to prevent the problem from becoming to complex. This thesis goes through hyper-parameter testing for classification of the Go board game. A solution with T…
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…
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…