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Machine Learning in the Domain of Stylometry and Authorship Attribution
Drápela, Karel ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
Thesis deals with authorship attribution of english internet comments. It describes state of art in authorship attribution on social networks. It decsribes how the new system created during the work on this thesis functions. System is based on selection of most informative characteristics mostly from character n-grams and part of speech tags. It presents results of testing on comments from social networks Quora and Twitter.
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Artificial Intelligence for Game Playing
Bayer, Václav ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
The focus of this work is the use of artificial intelligence methods for a playing of real-time strategic (RTS) games, where all interactions of players are performed in real time (in parallel). The thesis deals mainly with the use of machine learning method Q-learning, which is based on reinforcement learning and Markov decision process. The practice part of this work is implemented for StarCraft: Brood War game.A proposed solution learns to make up an optimal order of buildings construction in respect to a playing style (strategy) of the opponent(s). The solution is proposed within the rules of the SSCAIT tournament. Analysis and evaluation of the proposed system are based on a comparison with other participants of the competition as well as a comparison of the system behavior before and after the playing of a set of the games.
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Logical Network Games for Android
Kubík, Michal ; Škoda, Petr (referee) ; Kouřil, Jan (advisor)
The main goal of this bachelor's thesis was the implementation of application for playing logical games. This work deals with Android platform and the possibilities of creation and deployment of applications for this platform. The known algorithms that are used for implementation of an artificial intelligence are described in the work. The ways of wireless communication between mobile device are also mentioned. The graphical user interface of application, solution of an artificial inteligence and the network communication are described in the implementation part of this work.
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XML Dictionary Tagging
Vavrečan, Lukáš ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
This thesis deals with processing of electronic dictionaries in the LMF format, their analysis and conversion into an unified form. The aim is to create a system, that can make the machine processing of dictionaries easier, thanks to the mass changes. We will introduce the necessary technology, especially Python3, format XML and LMF.
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Scientific Web Portal Generator
Mertel, Ján ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
Bachelor's thesis is dedicated to dealing with problems concerning automatic adding of relevant articles from some storage system, while respecting final goal of web portal. As a part of the thesis there is a support for portal personalization according to various options. Project focuses on working with articles generally, whose references are kept in database, and further actualization of the portal.
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Arimaa
Kanis, Martin ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
Arimaa is a board game with simple rules. It is simple for human but at the same time difficult for computers. The aim of this bachelor thesis is to familiarize with game playing methods with features of the artificial intelligence. The next aim is to design and implement the program, that would be able to play against others players and programs. The most important features of the program are move generation, search and evaluation of positions. At the end, the program was tested on the game server, where played against others programs.
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Game Portal in Cloud
Rozsypálek, Václav ; Maliulin, Valerii (referee) ; Škoda, Petr (advisor)
This thesis describes the design and implementation of gaming portal in the cloud for one of the providers of Platform as a Service (PaaS). The main part of this work is the selection of appropriate technologies and their use in the design and implementation of gaming portal. The conclusion is written based on the results of testing load and scalability.
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Machine Learning in Strategic Games
Vlček, Michael ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
Machine learning is spearheading progress for the field of artificial intelligence in terms of providing competition in strategy games to a human opponent, be it in a game of chess, Go or poker. A field of machine learning, which shows the most promising results in playing strategy games, is reinforcement learning. The next milestone for the current research lies in a computer game Starcraft II, which outgrows the previous ones in terms of complexity, and represents a potential new breakthrough in this field. The paper focuses on analysis of the problem, and suggests a solution incorporating a reinforcement learning algorithm A2C and hyperparameter optimization implementation PBT, which could mean a step forward for the current progress.
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System for Evaluation of Student Code in Scripting Languages
Bastl, Vojtěch ; Škoda, Petr (referee) ; Smrž, Pavel (advisor)
This work deals with the tools for automatic evaluation of the code of programmers - students, who are in the process to get to know a particular programming language. The main focus is on the Python language. First it discusses the problems of beginning programmers and discusses the existing solutions. The core of the work is to design and implement a new system that is able to automatically evaluate student solutions to specific Python programming tasks. The work shows the internal layout and operation, describes its inputs and outputs and demonstrates the possibilities of inclusion into the teaching. As a case study, the system was deployed to support the teaching of the subject Scripting Languages at the FIT VUT in Brno in the academic year 2016/2017. The work summarizes the experience of this inclusion and evaluates advantages and problems of the solution.
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Application for Worktime Monitoring and Reporting
Šlapák, Jiří ; Škoda, Petr (referee) ; Malý, Jakub (advisor)
This bachelor thesis studies the management of software development, reporting and tracking work of developers. The basic ideologies for this thesis are agile methodologies Scrum and Kanban. The combination of the two is called Scrumban. The final result of this thesis is an intuitive web application called Scrumban Board, which offers a way for team management, planning tasks for teams and tracking efficiency of the development. The second part is a minimalistic application called Scrumban Client for the Windows operation system. This application offers an easy way of tracking work time.
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