Anticipatory network representations: Tetris, a case study

Jean-Charles Quinton 1
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper explores how representations can emerge from networks of local anticipations acquired through interaction with the environment. The nature and relationships between such representations are studied in the context of the Tetris game, where the various elements of the board are differentiated from the sensorimotor flow. Spatiotemporal regularities are learned by predicting the changes in the visual flow resulting from gaze shifts and keyboard actions. While general predictions about saccades across non-deformable objects most often apply and structure space, specific predictions about rotations of larger block sets help differentiating the various tetrominoes (i.e. game pieces).
Type de document :
Communication dans un congrès
Interactivist Summer Institute, Jul 2011, Ermoupolis, Greece. 2011
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https://hal.inria.fr/inria-00586262
Contributeur : Jean-Charles Quinton <>
Soumis le : vendredi 15 avril 2011 - 13:44:22
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00586262, version 1

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Jean-Charles Quinton. Anticipatory network representations: Tetris, a case study. Interactivist Summer Institute, Jul 2011, Ermoupolis, Greece. 2011. 〈inria-00586262〉

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