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Multiagent Support for Strategic Games
Knapek, Petr ; Uhlíř, Václav (referee) ; Zbořil, František (advisor)
This thesis is dedicated to creating a new system with capabilities to create new generic, autonomous strategy computer game controlling elements based on multi-agent systems with social, intelligent decision-making and learning skills. Basic types of strategy games and problems of their playing will be introduced, along with currently used methods of intelligent game AI development. This thesis also presents design and implementation of the new system, working model for a specific game and results obtained while testing it.
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Humor on Twitter via bot accounts
Neuman, Michal ; Švelch, Jaroslav (advisor) ; Křeček, Jan (referee)
This paper aims to map the use of humour in the production of posts by selected automated Twitter accounts and users' reactions to such posts. The theoretical basis for this study is primarily provided by theories of humour, through the lens of which the issue of humour via Twitterbots is viewed. To provide a broader context, the phenomenon of 'new media', social media and automation is also introduced, within which Twitterbots are given closer attention. A combination of quantitative and qualitative research techniques were used in the analysis of the selected Twitterbots. Quantitative methods were used to describe the accounts under study and to select a narrower sample for detailed analysis. The qualitative analysis used a content analysis method with inductively and deductively created categories to answer research questions regarding the prevailing theory of humour, forms of responses to the posts and their themes. Within each account, partial results are described, and then combined and interpreted in a broader context in the final discussion.
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Multiagent Support for Strategic Games
Knapek, Petr ; Uhlíř, Václav (referee) ; Zbořil, František (advisor)
This thesis is dedicated to creating a new system with capabilities to create new generic, autonomous strategy computer game controlling elements based on multi-agent systems with social, intelligent decision-making and learning skills. Basic types of strategy games and problems of their playing will be introduced, along with currently used methods of intelligent game AI development. This thesis also presents design and implementation of the new system, working model for a specific game and results obtained while testing it.
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