Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm

Tetris is a very popular game, having sold more than 450 millions units according to Forbes and it is also a very popular research subject in the field of Artificial Intelligence and Computational Intelligence. This work has two main goals. The first goal consists of providing a standardized testing...

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Veröffentlicht in:	2017 Brazilian Conference on Intelligent Systems (BRACIS) S. 282 - 287
Hauptverfasser:	da Silva, Renan Samuel, Stubs Parpinelli, Rafael
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.10.2017
Schlagworte:	Artificial neural networks Emulation Games Genetic Algorithm Genetic algorithms Sociology Testing Tetris
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Tetris is a very popular game, having sold more than 450 millions units according to Forbes and it is also a very popular research subject in the field of Artificial Intelligence and Computational Intelligence. This work has two main goals. The first goal consists of providing a standardized testing scenario based on an Emulator to run the Original Tetris Game. The second goal is to test several feature sets found in the literature in the proposed Real Coded Genetic Algorithm Based Agent. The results obtained showed the viability of having an agent playing the Original Tetris Game.
DOI:	10.1109/BRACIS.2017.15