Abstract
Particles, gliders and domain walls have long been thought to be the information transfer entities in cellular automata. In this paper we present local transfer entropy, which quantifies the information transfer on a local scale at each space-time point in cellular automata. Local transfer entropy demonstrates quantitatively that particles, gliders and domain walls are the dominant information transfer entities, thereby supporting this important conjecture about the nature of information transfer in cellular automata. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Lizier, J. T., Prokopenko, M., & Zomaya, A. Y. (2007). Information transfer by particles in cellular automata. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4828 LNAI, pp. 49–60). Springer Verlag. https://doi.org/10.1007/978-3-540-76931-6_5
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