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The game of life represents a spatialenvironment of cells that live and die according to fixed rules of nature. In the basic variant of the game a cell’s behaviorcan be described as reactive and deterministic since each cell’s transitionfrom an actual state to a subsequent state is straight-forwardly defined bythe rules. Furthermore, it can be shown that the alive cells’ spatialoccupation share of the environment decreases quickly and levels out at areally small value around 3%, virtually independent of the initial number ofalive cells. In this study we will show that this occupation share can bestrongly increased if alive cells become more active by making non-deterministicsacrificial decisions according to their individual positions. Furthermore, weapplied signaling games incombination with reinforcement learning to show that results can be even more improved if cells learn to signal fornavigating the behavior of neighbor cells. This result stresses the assumptionthat individual behavior and local communication supports the optimization ofresourcing and constitute important steps in the evolution of creature and man.

 

KEYWORDS

Game of Life, Signaling Games, Reinforcement Learning

Cite this paper

Mühlenbernd, R. and Schulz, S. 2014 The Game of Life, Decision and Communication. Natural Science, 6, 1093-1102. doi: 10.4236-ns.2014.613097.





Autor: Roland Mühlenbernd, Simon Schulz

Fuente: http://www.scirp.org/



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