National Repository of Grey Literature 499 records found  previous11 - 20nextend  jump to record: Search took 0.00 seconds. 
Agent-Based Monitoring of Wireless Sensor Networks
Houšť, Marek ; Kočí, Radek (referee) ; Zbořil, František (advisor)
The reader is first introduced with history and possible applications for wireless sensor networks. The thesis then describes the problems of wireless sensor networks and implementation tools for wireless sensor networks. The thesis also presents the system WSageNt and its client web interface. Practical part is based on the design of agent elements. Describes gradual implementation, testing and practical realization of these agent elements in the system WSageNt. The final part discusses the advantages and disadvantages of the project and identifies possible future expansion of the system.
Instalation and Configuration of AVG System using Active Directory Policies
Špaček, Michal ; Zbořil, František (referee) ; Kočí, Radek (advisor)
This thesis is about Group Policy, which is a feature of Microsoft Windows systems that provides centralized management and configuration of users and computers in Microsoft Windows networks. This thesis describes Group Policy architecture and possible ways of extending its features. This theoretical knowledge is later used for designing and implementing extension, which is used to configure AVG system.
Platform for Mobile Agents in Wireless Sensor Networks
Horáček, Jan ; Kočí, Radek (referee) ; Zbořil, František (advisor)
This work deals with implementation of an agent platform, which is able to run agent code in wireless sensor networks. Implementation has been done for MICAz platform, which uses TinyOS operating system for developing applications. This work contains list of chosen TinyOS parts and illustrates, how such a platform can be used for our purposes. We will describe main features of ALLL language and we will also demonstrate some examples of agents.
Library of UI Components for Developing Applications in iOS
Salih, Adam ; Zbořil, František (referee) ; Hrubý, Martin (advisor)
In this thesis I analyse and implement a set of frequently used components that are not part of the standard set of user interfaces. Then I implement these components using the UIKit and SwiftUI libraries. In this work I also focus on the implementation of strongly typed data models. In the end I verify the implementation of the set of components on a demonstration application.
Intelligent System for Generating and Analysis of Trading Recommendations on Financial Markets
Martinský, Ondrej ; Hrubý, Martin (referee) ; Zbořil, František (advisor)
This master thesis deals with the price prediction on financial markets. It describes automated trading systems based on technical analysis and discusses a soft computing approach to construction of such systems. Also, this thesis combines conventional trading strategies with the fuzzy logic. The practical part of this thesis contains also a framework for composing, simulation and analysis of the automated trading strategies. The simulator contained in this framework is implemented in the Java language and based on DEVS formalism. Because of this, there is a possibility to embed real-time components into the trading model. This work contains also a database of historical financial data and tools for their automatic actualization.
Game Playing with Uncertainty
Bajza, Jakub ; Zbořil, František (referee) ; Zbořil, František (advisor)
This Bachelor thesis describes the implementation of expectiminimax algorithm for zero-sum games. It also introduces the complications, that you can face, if working on applying the expectiminimax algorithm to more complicated games of this category. This thesis also presents a way to create an evaluation function for computer opponent. The applicability of these evaluation functions is demonstrated by series of tests, where human player plays against computer opponent or two computer opponents play against each other.
Agent Based Gameplaying System
Trutman, Michal ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis deals with general game playing agent systems. On the contrary with common agents, which are designed only for a specified task or a game, general game playing agents have to be able to play basically any arbitrary game described in a formal declarative language. The biggest challenge is that the game rules are not known beforehand, which makes it impossible to use some optimizations or to make a good heuristic function. The thesis consists of a theoretical and a practical part. The first part introduces the field of general game playing agents, defines the Game Description Language and covers construction of heuristic evaluation functions and their integration within the Monte Carlo tree search algorithm. In the practical part, a general method of creating a new heuristic function is presented, which is later integrated into a proper agent, which is compared then with other systems.
Five in a Row
Vrtílek, Michal ; Zbořil, František (referee) ; Rozman, Jaroslav (advisor)
This Bachelor's Thesis describes the desing and implementation of artificial intelligence for the board game Five in a row. The main goal of this thesis is to create an application able to communicate with the Manager For Board Games with the use of network communication and being able to play the board game Five in a row on a suitable level. This work contains theoretical parts about the history and rules of Five in a row and it's variations, about the possibilities of use of artificial intelligence in this game and about the structure of aplications used for playing it. It's concern is about the actual desing and implementation of said application, including it's controls. In the end I evaluate achieved results and propose additional directions for the program development.
Coalition Formation in Multiagent Systems Using Genetic Algorithms
Kučera, Tomáš ; Uhlíř, Václav (referee) ; Zbořil, František (advisor)
This thesis discusses the basics of software agents and the way they form the multiagent coalitions. Genetic algorithms are introduced as one of the methods of solving the coalition formation problem. MAPC 2018 competition is introduced, which inspired the final design and implementation of the solution by using the tools described. A demo project was created, in which agents communicate with the MASSim server and gather data which is then used as an input into the genetic algorithm. Its purpose is to assign the agents to the tasks based on the input data, so that the tasks can be accomplished in the most effective manner possible. The results of this algorithm are evaluated in experiments which are focused on the quality of the solutions found as well as the time required for the calculation.
Usage of Methods of Artificial Intelligence for Solving of Brain Teaser Rubic's Cube
Kočvara, Jakub ; Zbořil, František (referee) ; Luža, Radim (advisor)
The goal of this paper is to explain the principles of Rubik's Cube speedsolving and use of arti cial intelligence with these methods. Application should help solvers with logical thinking and learning new algorithms.

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