National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Using hierarchical finite automata for behavior-description
Renát, Dušan ; Pergel, Martin (advisor) ; Holan, Tomáš (referee)
In the present work we introduce and study the hierarchical finite state machines as a model of artificial intelligence of autonomous agents in various virtual environments and systems. We define the concept of hierarchical finite state machine formally, analyze its computational power compared to common types of automata and point out the possibilities of increasing it. Then we list the usual methods of artificial intelligence simulation, tell apart the direct and indirect behavioral pattern description and present advantages of hierarchical finite state machines as a tool for the direct form. We propose a library interpreting these automata, created as a part of this work. By demonstrating its usage for controlling an example robot within the Robocode environment, we show that they are generic and viable solution for this kind of settings.
Using hierarchical finite automata for behavior-description
Renát, Dušan ; Pergel, Martin (advisor) ; Holan, Tomáš (referee)
In the present work we introduce and study the hierarchical finite state machines as a model of artificial intelligence of autonomous agents in various virtual environments and systems. We define the concept of hierarchical finite state machine formally, analyze its computational power compared to common types of automata and point out the possibilities of increasing it. Then we list the usual methods of artificial intelligence simulation, tell apart the direct and indirect behavioral pattern description and present advantages of hierarchical finite state machines as a tool for the direct form. We propose a library interpreting these automata, created as a part of this work. By demonstrating its usage for controlling an example robot within the Robocode environment, we show that they are generic and viable solution for this kind of settings.

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