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Self-Replication in Cellular Automata
Mikeš, Martin ; Bidlo, Michal (referee) ; Žaloudek, Luděk (advisor)
This thesis introduces cellular automata as an environment suitable for simulating complex and massively parallel systems, built from a large number of simple cooperating units. The thesis explores self-replication and self-replicating loops - structures operating within the cellular space, particularly those capable of carrying out useful tasks. The thesis provides a description of implementation of three such loops, executing following tasks: coloring of the space within a loop, construction of letters "MM" and binary addition. A practical usability is discussed at the end.
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Artificial Life Models
Ďuričeková, Daniela ; Martinek, David (referee) ; Peringer, Petr (advisor)
This bachelor thesis describes design and implementation of an artificial life simulator. The work is divided into four parts. The aim of the first part is to provide a brief overview of artificial life and related terminology. The second part deals with selected design patterns and the process of designing a simulation system, whose purpose is to simulate an ecosystem of artificial life entities. The subsequent part focuses on implementation of individual system components. Finally, the system is tested and evaluated on two sample models.
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Self-Organization in Large Distributed Systems
Kunštátský, Martin ; Řezníček, Ivo (referee) ; Šperka, Svatopluk (advisor)
Gossip is a generic protocol which was designed for spreading information between nodes in large distributed decentralised systems. This protocol can be also used for many different applications including data aggregation, topology construction, etc. This work presents and describes a framework designed for facilitating modelling and simulation of Gossip-based systems.
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Artificial Life Simulator
Popek, Miloš ; Grulich, Lukáš (referee) ; Martinek, David (advisor)
Area of artificial life is very extensive. Simulations with reactive agents are the target of this work. Simulator of artificial life and language for definition agent's behavior are described in this work. Porposals a results of simulation made are described in this work.
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Emergent urban strategies: rules of city reconfiguration
Buš, Peter
A city as a complex phenomenon and an entirety of events, its communication flows (information and data telecommunication networks and their access points), energy, goods and materials distribution and movement of users themselves and their spatial interactions with the environment nowadays no doubt has been creating new conditions and demands on the city's spatial organization, infrastructure, its growth and its thickening. Urban space today is an aggregate of complex dynamic processes which contribute to its configuration and mutually influence each other. Thus, urban environment shows emergent qualities and contains multi-layer scenarios of its own development and reconfiguration in time. This stratification is impossible to be comprehended by a linear model of a single predicted concept (top-down strategy). Architects and urban planners may, however, cover these specifics by a prediction of space development with a multi-layer result that would take into account the requirements of users at the lower level (bottom-up strategy). The aim of the research is therefore a spatial simulation of environment development, which would simulate its complexity, growth and reconfiguration. This spatial simulation would serve as a decision-making tool for architects when applying various scenarios of environment development and thereby it would create a basis for spatial planning decisions in subsequent stages of zoning proceedings. The final result of this research shall be a visualized algorithm in a model of spatial environment reconfiguration that could be serviceable also in the internet environment. This result implemented in a software tool can also serve as a creative platform for designing urban structure based on simple rules of a lower level that would, however, consequently simulate the complex urban entirety.
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Influence of water regime on growth and quality of selected grass species
BÁRTA, Ondřej
This thesis describes the importance and use of permanent grasslands, or more so-called energy grasses used in the energy sector. For our study we examined these three grasses: Ovsík vyvýšený (Arrhenatherum elatius), Sveřep horský (Bromus carharticus) and Bojínek luční (Phleum pratense). Another, the main task was to determine their resistance to drought. The results based on laboratory work, which between them compared the two variants. One was simulated normal emergence of the species and the second emergence stressed by lack of water. Based on these results, we conclude that we can not say that it would be a downright drought-resistant types. For the two studied species of grasses (Bojínek and Ovsík) are obvious differences in resistance to drought. Sveřep horský (variety - Tacit), however, proved to be the most drought-resistant species. While most sprouted out bojínek luční (variety - Sobol).
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Emergent Behaviour in Complex Information Systems
Tříšková, Petra ; Bruckner, Tomáš (advisor) ; Košařík, Radim (referee)
This thesis concerns with both practical and theoretical aspects of phenomenon called Emergence. First part has been devoted to the research of available specialized resources on emergent topic and also on main features of complex systems. Acquired knowledge of two topics has been implemented on a real practical example of complex information system by creation of method which purpose is to help finding and determining emergent behavior. Last part of the thesis brings outcome of analysis of real system and discusses the recommendations for researchers on how to determine emergent behavior in their own systems.
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Natural and Artificial Intelligence
Šaněk, Petr ; Sigmund, Tomáš (advisor) ; Brixí, Radim (referee)
This work deals with the field of artificial intelligence and the interconnected question of the possibility to make thinking machines. The natural and human intelligence evolution summary outlines the starting points of the field. To give the clearer picture of the problem, I also describe the development of artificial intelligence branch and the development of computers. My work combines informatics and philosophical approaches. In the scope of the first one, I summarize different approaches to AI, with emphasis on sub-symbolic methods which are used afterwards to explain the concept of intelligence development. In the scope of the philosophical approach, the text deals with different philosophical points of view on making intelligent machines, which comment phenomena like consciousness, subjective experience or the body-mind problem. I contradict the use of intuition to solve the thought experiments dealing with mind and I argue for the possibility to make intelligent machines. The futurology visions are the last starting point for stating my opinion on the future development of IA and human ability to make the thinking machine.
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Phenomenon of Emergence in Complex Information Systems
Rajnoha, Martin ; Bruckner, Tomáš (advisor) ; Svatoš, Oleg (referee)
The aim of this diplomma thesis is to build a platform of the phenomenon of emergence in complex information systems. To our best knowledge, there has not been provided any similar concept in either internetional or domestic academic literature. The necessity to create a concept of the phenomenon of emergence in the enviroment of information systems stems from the observation of the fragmented knowledge about the emergence concept in the pool of scientific papers where the link between emergence and information systems is missing. As a result, the platform created in this work is the reaction to the lack of the above mentioned link, while the ambition is to provide a cornerstone for potential emergence's utilization in information systems. In this work, we provide a construct that describes and analyzes the characteristics, technics and methodologies in connection with the phenomenon of emergence, placing a great deal on the specifics of the emergence in complex information sytems. Special attention is paid to eNetworks that we consider to be the best enviroment for examining the characteristics of emergent behavior in regards to the concept of complexity. This enviroment shows suitable conditions for the analysis of information spreading and dynamic interactions, which is primarily connected with generating of emergent characteristic. In order to understand the causality of specific emergence's demonstrations, we take a closer look at two approaches: Holonistic multi-agemt systems and iterative simulation process.
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