Abstract
This study discusses the use of granular computing for representing multi-thinking cellular automata model. In addition, the learning in cellular automata model is examined from the viewpoint of granular computing. A granular cellular automata system for simulating the changes needed in cases based on assessments of individual and group decision from the viewpoint of soft computing as a new formulation of granular computing and cellular automata is presented here. The architecture of the proposed model and the results of simulation of novel approach are given. Results from the implementation enrich granular computing cellular automata hybrid system and shed a new light on the concept formulation of the model and the learning in it.
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