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Titlebook: Inspired by Nature; Essays Presented to Susan Stepney,Andrew Adamatzky Book 2018 Springer International Publishing AG 2018 Evolutionary Al

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Multi-step Ahead Forecasting Using Cartesian Genetic Programming the actual data and the outputs are the forecasted values. The Cartesian Genetic Programming (CGP) algorithm finds the best performing machine out of a huge abundance of candidates via evolutionary strategy. The algorithm can cope with non-stationary highly multivariate data series, and can reveal
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Chemical Computing Through Simulated Evolution realised through simulated evolution. That is, the behaviour of non-linear media can be controlled automatically and the structural design of the media optimized through the nature-inspired machine learning approach. This chapter describes work using the Belousov-Zhabotinsky reaction as a non-linea
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Sub-Symbolic Artificial Chemistriesrties needed. We describe here the concept of . (ssAChems), where reaction properties are emergent properties of the internal structure and dynamics of the component particles. We define the components of a ssAChem, and illustrate it with two examples: RBN-world, where the particles are Random Boole
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