![The use of Cellular Automata in the learning of emergence [An article from: Computers & Education]](http://ecx.images-amazon.com/images/I/51WJ0T05G2L._SL500_AA240_.jpg)
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This digital document is a journal article from Computers & Education, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
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In recent years, research efforts on complex systems have contributed to improve our ability in investigating, at different levels of complexity, the emergent behaviour showed by system in the course of its evolution. The study of emergence, an intrinsic property of a large number of complex systems, can be tackled by making use of Cellular Automata (CA): these enable researchers to identify the emergent dynamics of a complex system, whose behaviour is determined by local rules that define the way in which the elementary parts interact with each other. This work presents the results of an experimentation aimed to investigate the efficacy of a methodology which uses the simulation and CA in the learning of emergence. As results, the 93% of the students that which took parts to the experimentation is able to recognize characteristics of complex system.
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