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Issue title: Cellular Automata: Theory and Application in Artificial Intelligence
Article type: Research Article
Authors: Bandini, Stefania | Vanneschi, Leonardo | Wuensche, Andrew | Shehata, Alessandro Bahgat
Affiliations: Complex Systems and Artificial Intelligence (C.S.A.I.) Research Center, Dept. of Informatics, Systems and Communication (D.I.S.Co.), University of Milano-Bicocca, 20126 Milan. Italy. {bandini, vanneschi}@csai.disco.unimib.it | Dept. of Informatics, School of Science and Technology, University of Sussex, UK. andy@ddlab.org | Complex Systems and Artificial Intelligence (C.S.A.I.) Research Center, D.I.S.Co., University of Milano-Bicocca, Italy. bahgat@csai.disco.unimib.it
Note: [] Address for correspondence: Complex Systems and Artificial Intelligence (C.S.A.I.) Research Center, Dept. of Informatics, Systems and Communication (D.I.S.Co.), University of Milano-Bicocca, 20126 Milan. Italy
Abstract: This paper presents a general framework to automatically generate rules that produce given spatial patterns in complex systems. The proposed framework integrates Genetic Algorithms with Artificial Neural Networks or Support Vector Machines. Here, it is tested on a well known 3-values, 6-neighbors, k-totalistic cellular automata rule called the "burning paper" rule. Results are encouraging and should pave the way for the use of the proposed framework in real-life complex systems models.
Keywords: Complex Systems, Cellular Automata, Pattern Recognition, Automatic Rule Generation, Machine Learning, Genetic Algorithms, Artificial Neural Networks, Support VectorMachines
Journal: Fundamenta Informaticae, vol. 87, no. 2, pp. 207-226, 2008
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