Open AccessMulti‐level thinking cellular automata using granular computing title
Author(s) -
Hassan Yasser F.
Publication year - 2018
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2017.0195
Subject(s) - cellular automaton , granular computing , computer science , learning automata , mobile automaton , automaton , continuous spatial automaton , theoretical computer science , soft computing , distributed computing , artificial intelligence , automata theory , quantum finite automata , artificial neural network , rough set
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.