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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).
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Conference papers
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https://hal.inria.fr/inria-00586262
Contributor : Jean-Charles Quinton <>
Submitted on : Friday, April 15, 2011 - 1:44:22 PM
Last modification on : Friday, February 26, 2021 - 3:28:03 PM

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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. ⟨inria-00586262⟩

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