Umělá inteligence pro hru Carcassonne - Objevitelé
| Thesis title in Czech: | Umělá inteligence pro hru Carcassonne - Objevitelé |
|---|---|
| Thesis title in English: | Artificial intelligence for the Game Carcassonne: The Discovery |
| Key words: | hra, Carcassonne - Objevitelé, umělá inteligence, Monte Carlo metody, Expectiminimax |
| English key words: | game, Carcassonne - The Discovery, artificial intelligence, Monte Carlo methods, Expectiminimax |
| Academic year of topic announcement: | 2019/2020 |
| Thesis type: | Bachelor's thesis |
| Thesis language: | čeština |
| Department: | Department of Theoretical Computer Science and Mathematical Logic (32-KTIML) |
| Supervisor: | RNDr. Jan Hric |
| Author: | Mgr. Ondřej Motlíček - assigned and confirmed by the Study Dept. |
| Date of registration: | 04.03.2020 |
| Date of assignment: | 13.03.2020 |
| Confirmed by Study dept. on: | 18.05.2020 |
| Date and time of defence: | 07.07.2020 09:00 |
| Date of electronic submission: | 05.06.2020 |
| Date of submission of printed version: | 04.06.2020 |
| Date of proceeded defence: | 07.07.2020 |
| Opponents: | RNDr. Mikuláš Zelinka |
| Guidelines |
| Student navrhne a implementuje prostředí pro hru Carcassone - Objevitelé.
Součásti práce bude prostředí pro hru a počítačový hráč (tj. umělá inteligence). Prostředí umožní hru víc hráčů, jak počítačových tak i lidských. Umělá inteligence může být založena na kombinaci klasických metod [1] (minimax, expectimax), zpětnovazebného učení [2], Monte Carlo metod [3], případně jiných. |
| References |
| [1] P. Norvig, S. Russell, Artificial Intelligence - A Modern Approach, Prentice Hall, 2010
[2] Richard S. Sutton, Andrew G. Barto, Reinforcement Learning: An Introduction, MIT Press, Cambridge, MA, 2018, 2nd ed., http://incompleteideas.net/book/the-book-2nd.html [3] C. Browne, E. Powley, D. Whitehouse et. al., A Survey of Monte Carlo Tree Search Methods. IEEE Transactions on Computational Intelligence and AI in Games, IEEE, vol. 4, No. 1, 2012 |