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How Can We Google More Effectively?
Kolesárová, Lucia ; Shapiro, Irina (referee) ; Macháček, Mikuláš (advisor)
Current Google provides almost all type of information in a similar way - list of web pages. But Each information needs a different manner of mediation. A different way of visualisation. Therefore I decided to create Google of tomorrow. I am focused on a new way of spreading information and communication. I created new tools which help to achieve this vision. These tools operate in augmented reality. My diploma is mainly work of design fiction and information design. I use extrapolation to create possible future scenarios. Future abilities of Google tools are extrapolated from its current technologies.
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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.
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Fear Factor of Gaming Artificial Intelligence
Mištík, Matej ; Materna, Zdeněk (referee) ; Chlubna, Tomáš (advisor)
The goal of this thesis is to present the fear factor by gaming artificial intelligence. The work focuses on the player's interaction with artificial intelligence, whose fear factor is addressed by evaluating complex conditions and the subsequent selection of the state of behaviour. The created system works for combat and escape of artificial intelligence. The outcome of this thesis is the implementation of human emotion, mainly the fear for gaming artificial intelligence in the enviroment of Unity engine.
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Multiagent Support for Strategic Games
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.
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Multi-Agent and Optimalisation Methods for Stealth Games
Láncoš, Jan ; Vídeňský, František (referee) ; Zbořil, František (advisor)
This bachelor thesis deals with the opponents' behaviour in stealth-based video games. It's main focus is the credibility of said behaviour in comparison to the opponents' real life counterparts and the overall immersiveness of the experience. The thesis describes the usage of the A* algorithm for dynamic pathfinding in a two-dimensional space. Furthermore it describes the opponents' patrolling system, their ability to detect the player's presence and also their ability to cooperate and communicate while trying to chase the player down. One playable level demonstrating the described behaviour has also been created as part of this thesis using the C++ language. The thesis can be used as an inspiration for anyone interested in making their own intelligent systems for computer games of a similar type.
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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.
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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.
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Řízení pracovníků prostřednictvím umělé inteligence
VÚBP
Vyšší úroveň automatizace a konstantní sledování pracovníků digitálními technologiemi v mnoha případech omezí mezilidský kontakt a zvýší tlak na pracovní výkonnost, což může mít škodlivé účinky na duševní zdraví pracovníků.
Fulltext:  PDF
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Business planning in the AI era: a study of ChatGPT's capabilities and limitations
Fiala, Martin
Business planning plays an important role in ensuring the success and growth of a company. Artificial intelligence (AI) systems have the potential to revolutionize business planning, offering benefits such as enhanced decision-making, reliable insights, and improved collaboration between AI and human expertise. This study aims to explore the potential of ChatGPT in business planning and shed light on its strengths and weaknesses, ultimately helping organizations make informed decisions about incorporating AI into their planning processes. The primary objective of this thesis is to investigate the capabilities and limitations of ChatGPT, in the context of business planning of food truck business in Czech Republic, using a single-case study approach. The findings from the literature review and case study are synthesized to provide a comprehensive understanding of the topic. The results from the qualitative and quantitative analyses are used to assess the effectiveness of ChatGPT in executing various tasks related to the business planning scenario. In addition, recommendations for future research and practical applications of ChatGPT are provided. The implications of AI advancements for businesses and practitioners are both promising and challenging. By improving interpretability and explainability, addressing data quality issues, fostering collaboration between artificial intelligence and human experts, and considering ethical implications, we can pave the way for more effective and responsible use of AI systems for business planning.
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