National Repository of Grey Literature 16 records found  1 - 10next  jump to record: Search took 0.00 seconds. 
Cooperative Game in Multi-Agent System Jason
Husa, Jakub ; Rozman, Jaroslav (referee) ; Král, Jiří (advisor)
The subject of this thesis is creation of a game based on a multi-agent system. First part of the thesis introduces theory of multi-agent systems, strategic computer games, language AgentSpeak and his extension Jason which were used for implementation. Then design of turn-based strategic game Prison Escape is described, which pitches two asymmetrical teams of intelligent agents with different goals against each other. Each team has three modes of intelligent behavior designed for them, which differ by their complexity and extent of inter-agent cooperation. One team can be controlled by a player, or both teams can be controlled by computer. The game is tested on a set of testing maps. The thesis compares the three designed modes of behavior and evaluates their ability to succeed against varying opponents and thinking speed.
Strategic Game in Multi-Agent System Jason
Vais, Roman ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes artificial inteligence used in developement of computer games, particularly discusses with theory behing artificial inteligence used in real-time strategy games. It deals with implementation of extensions for one such a game. It analyzes posibylities of use multi-agent systems architecture for purposess of artificial inteligence in games. It describes concept of swarm inteligence as suitable but not used tool for developing not only videogame artificial inteligence. Moreover it attempts to find suitable representation of sensation for software agents and shows the difficulties of this task.
Intention Driven Agent in PROLOG
Němec, Ladislav ; Vídeňský, František (referee) ; Zbořil, František (advisor)
This lever deals with the realization of the iterpreter of an Driven Agent by the PROLOG implementation. The model was used by Jason implemented in Java that interprets the language of AgentSpeak(L). An interpreter and a program for processing agent systems in the language AgentSpeak (L) were created. This interpreter can work with multiple agents, can implement a system with an environment and use the FRAg system for interpretation. Examples of agent systems in AgentSpeak (L) were proposed to describe the functionality of the interpreter, and subsequently the advantages and disadvantages of the FRAg system were described.
Intelligent Autopilot Based on Agent-Oriented Programming
Burda, Radek ; Samek, Jan (referee) ; Zbořil, František (advisor)
Thesis aims at fighter combat and maneuvring - so called Dogfighting. The purpose of this work is to create intelligent autopilot based on Agent system, eligible of executing in-air maneuvers and tactics in real-time simulation. In the first part, theoretical basis of air combat will be introduced, such as weapon systems, maneuvring and tactics in mutual combat 1 on 1, odds fight 2 on 1, and last but not least mass fights. Also agent programming will be introduced, as well as recognizing of agent rules and processes and its transformation to agent language. The second part describes building of a simple graphical simulation environment based on JMonkey game engine. Agent system maintaining every single aircraft within the simulation will be created and own network socket protocol for communication between intelligent behavior and simulation environment will be discussed and documented.
Multi-Agent Strategy Game over Ants
Šimetka, Vojtěch ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes challenges in design and development of a multi-agent real-time strategy game. It discusses necessary theoretical background and its consequences for the game design. The resulting game implements, apart from features and game control which can be found in nowadays RTS games, three different levels of artificial intelligence in which each unit is an agent. Moreover, there is a unique cooperation mode, where units can be controlled by user and artificial intelligence at the same time. In addition, the game is designed in such way that it can be easily extended with new artificial intelligences, therefore, used for teaching agent systems. A number of experiments was performed in order to evaluate both game design and capabilities of artificial intelligence.
Simulator of BDI Agents and Surrounding Environment With Obstacles
Matějíček, Petr ; Zbořil, František (referee) ; Horáček, Jan (advisor)
This term project desribes simulator of multiagent system implementation. It explains basic concepts of agent and multiagent systems. Simulator is implemented as a separated object, which allows to join various models of environment and agents acting in this environment. Evaluation of several types of agent cooperation behavior is in last section of this project.
Interface for Creation of Game Agents in Jason
Rusnák, Jakub ; Samek, Jan (referee) ; Král, Jiří (advisor)
Thesis deals with creation of interface for creating agents in Jason programming language for Unreal Tournament 2004. Reader is introduced to theory of agent systems, UnrealTournament game and GameBots environment. The paper describes design of this interface and it's implementation. It also deals with the problem of finding path for bots in game. It desribes creation of your own bot using this interface. Finally, efficiency of solution is evaluated.
Simulation of Cooperation of Agents in Jason Environment
Kříž, Jakub ; Zbořil, František (referee) ; Král, Jiří (advisor)
This work deals with creation of simulator of multi-agent system in which agents cooperate. Reader is introduced to basics of agent systems, their creating and modeling. Design of environment in which agents exist and task they solve is described in this work. There are designed and implemented three levels of racional BDI inteligence of agents with different level of cooperation - without cooperation, weak cooperation and complex cooperation. Whole system is implemented in Jason framework and extensively tested. Behavior of agents is analyzed and levels of intelligence are compared based on simulation experiments. Achieved results prove dominance of team in which agents cooperate more.
Intention Driven Agent in PROLOG
Němec, Ladislav ; Vídeňský, František (referee) ; Zbořil, František (advisor)
This lever deals with the realization of the iterpreter of an Driven Agent by the PROLOG implementation. The model was used by Jason implemented in Java that interprets the language of AgentSpeak(L). An interpreter and a program for processing agent systems in the language AgentSpeak (L) were created. This interpreter can work with multiple agents, can implement a system with an environment and use the FRAg system for interpretation. Examples of agent systems in AgentSpeak (L) were proposed to describe the functionality of the interpreter, and subsequently the advantages and disadvantages of the FRAg system were described.
Multi-Agent Strategy Game over Ants
Šimetka, Vojtěch ; Zbořil, František (referee) ; Král, Jiří (advisor)
This thesis describes challenges in design and development of a multi-agent real-time strategy game. It discusses necessary theoretical background and its consequences for the game design. The resulting game implements, apart from features and game control which can be found in nowadays RTS games, three different levels of artificial intelligence in which each unit is an agent. Moreover, there is a unique cooperation mode, where units can be controlled by user and artificial intelligence at the same time. In addition, the game is designed in such way that it can be easily extended with new artificial intelligences, therefore, used for teaching agent systems. A number of experiments was performed in order to evaluate both game design and capabilities of artificial intelligence.

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