Řídicí mechanismy pro autonomní vtělené agenty

Slušný, Stanislav

Charles University in Prague Faculty of Mathematics and Physics DOCTORAL THESIS Mgr. Stanislav Slušný Control algorithms for autonomous embodied agents Department of Software Engineering Supervisor of the doctoral thesis: Mgr. Roman Neruda, CSc. Study programme: Computer Science Specialization: Software Engineering Prague 2014 Title: Control algorithms for autonomous embodied agents Author: Mgr. Stanislav Slušný Department: Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Prague Supervisor: Mgr. Roman Neruda, CSc., Institute of Computer Science, Academy of Sciences of the Czech Republic, Prague Abstract: This work studies control algorithms for adaptive embodied agents. The available approaches, based on neural networks, genetic algorithms and re- inforcement learning are investigated and potential improvements suggested. Ar- chitecture of adaptive embodied autonomous agents, that combines the existing reactive and deliberative paradigms, is proposed and demonstrated in a realistic simulator solving a complex real world task. The performance of a novel high-level planner based on constraint programming and finite automata is demonstrated on a practical application.

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