National Repository of Grey Literature 19 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Chatbot for Smart Cities
Jusko, Ján ; Herout, Adam (referee) ; Zemčík, Pavel (advisor)
The aim of this work is to simplify access to information for citizens of the city of Brno and at the same time to innovate the way of communication between the citizen and his city. The problem is solved by creating a conversational agent - chatbot Kroko. Using artificial intelligence and a Czech language analyzer, the agent is able to understand and respond to a certain set of textual, natural language queries. The agent is available on the Messenger platform and has a knowledge base that includes data provided by the city council. After conducting an extensive user testing on a total of 76 citizens of the city, it turned out that up to 97\% of respondents like the idea of a city-oriented chatbot and can imagine using it regularly. The main finding of this work is that the general public can easily adopt and effectively use a chatbot. The results of this work motivate further development of practical applications of conversational agents.
Interconnection of Recent Strategic Games with Multi-Agent Frameworks
Válek, Lukáš ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This thesis is focused on design of framework for creation an articial opponents in strategy games. We will analyze different types of strategy games and artificial intelligence systems used in these types of games. Next we will describe problems, which can occur  in these systems and why agent-based systems makes better artificial opponents. Next we will use knowledge from this research to design and implement framework, which will act as support for creating an artificial intelligence in strategy games.
Strategic Game Based on Multiagent Systems
Knapek, Petr ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This thesis is focused on designing and implementing system, that adds learning and planning capabilities to agents designed for playing real-time strategy games like StarCraft. It will explain problems of controlling game entities and bots by computer and introduce some often used solutions. Based on analysis, a new system has been designed and implemented. It uses multi-agent systems to control the game, utilizes machine learning methods and is capable of overcoming oponents and adapting to new challenges.
Artificial Intelligence Document Classification
Molnár, Ondřej ; Kačic, Matej (referee) ; Třeštíková, Lenka (advisor)
This paper deals with document classification using artificial intelligence. It describes the principles of classification and machine learning. It also introduces AI methods and presents Naive Bayes classification method in detail. Provides practical implementation of the classifier in MS Office and discusses other possible extensions.
Sociological Aspects of Aritificial Intelligence
Zálešák, Tomáš ; Bureš, Jiří (advisor) ; Tremčinský, Martin (referee)
This text is a literature review with the goal of introducing the topic of artificial intelligence (AI) as a sociologically relevant phenomenon to research. The text has three chapters that together form a basic platform to understand many different aspects of the topic. The first chapter is concerned with the technical aspects of AI and is based on technical literature. These aspects are important for understanding of the current surge of interest in AI that has arisen in the recent years. The technical aspects also help us understand the strengths and weaknesses of AI by understanding its inner workings. The second chapter introduces an overview of sociologically relevant works of authors dealing with the social effects and other aspects of AI. Works of four of these authors are chosen as examples of the breadth of possible ways of looking at AI and as sources for further understanding. The third chapter chooses two examples from the vast amount of areas of application AI in the real world to deepen the overall understanding. This chapter balances out the previous more theoretical chapters by looking at the state of the art in the fields of medicine and transportation and applies knowledge acquired in the previous chapters. The output of the text is a sort of introductory guide through the...
Board Game User Interface with a Camera
Cihlářová, Dita ; Hradiš, Michal (referee) ; Zemčík, Pavel (advisor)
Cílem této práce je vytvořit systém, který bude schopen nahradit reálného protihráče ve hře Dostihy a sázky. Hra je snímána kamerou, ze které se obraz přenáší do počítače, kde probíhá zpracování obrazu a identifikace herních objektů. Dále aplikace analyzuje stav hry a rozhodne o svém následujícím tahu. Rozhodovací algoritmus je schopen reagovat na každou herní situaci a tudíž dohrát hru do konce. Aplikaci mohou využít hráči, jež rádi hrají Dostihy a sázky, ale chybí jim protihráč. Aplikace také může najít uplatnění jako demostrace možností počítačového vidění.
Word2vec Models with Added Context Information
Šůstek, Martin ; Rozman, Jaroslav (referee) ; Zbořil, František (advisor)
This thesis is concerned with the explanation of the word2vec models. Even though word2vec was introduced recently (2013), many researchers have already tried to extend, understand or at least use the model because it provides surprisingly rich semantic information. This information is encoded in N-dim vector representation and can be recall by performing some operations over the algebra. As an addition, I suggest a model modifications in order to obtain different word representation. To achieve that, I use public picture datasets. This thesis also includes parts dedicated to word2vec extension based on convolution neural network.
Integrating Probabilistic Model for Detecting Opponent Strategies Into a Starcraft Bot
Šmejkal, Pavel ; Černý, Martin (advisor) ; Bída, Michal (referee)
Recent research in artificial intelligence (AI) for real time strategies (RTS) has shown a great need for a computer controlled agent (bot) to be able to adapt its strategy in response to opponent's actions. While some progress has been made in detecting opponent's strategies offline, there has not been much success in using this information to guide in-game decisions. We present a version of UAlbertaBot enhanced by existing probabilistic algorithm for supervised learning from replays and strategy prediction. Bot that adapts its strategies has proved to be superior to a random bot as we show in simulated StarCraft: Brood War AI tournament. Our work exposes the importance of scouting and strategy adaptation. By further improvement of strategies, a bot capable of competing with human players may be created.
Space shooter game with mutually cooperating bots
Hýbl, Oskar ; Zavoral, Filip (advisor) ; Děchtěrenko, Filip (referee)
The goal of this thesis is to, based on several AI algorithms, design and implement an AI for a game called Space Shooter which was developed as an Academic Year Project. In this game there are two groups of spaceships fighting against each other with the player directly controlling one of the ships. The created AI module is supposed to ensure the cooperation of the agents controlling the ships. The resulting program has an emphasis on modularity and extensibility, so that, in case of further development of Space Shooter, modification of the AI would be facilitated as much as possible. Powered by TCPDF (
Artificial Intelligence
Ragas, Luděk ; Žouželková Bartošová, Marie (referee) ; Sedláček, Pavel (advisor)
Cílem této bakalářské práce je poskytnout náhled do rozsáhlého oboru umělé inteligence. Téze nejprve poskytuje definici umělé inteligence a krátký přehled její historie. Poté práce stručně popisuje technologie umělé inteligence, jako jsou neuronové sítě, expertní systémy a genetické algoritmy. Na závěr téze popisuje vliv umělé inteligence na společnost a její pozici v ní.

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