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The Greenberg-Hastings cellular automaton can be used to create feature-rich profiles of the complex waveform data caused by turbulent blood-flow in an occluded carotid artery if it is combined with recent work in differential calculus and approximation theory relating to boolean functions. We show how to undertake the derivation of a Maclaurin power series representation of the Greenberg-Hastings...
Cellular automata models have been extensively used for simulating pedestrian movements. One weakness of this type of models, is the size of the cells which is mostly considered to be of the size of a pedestrian (i.e. 40cm*40cm or near to it). Each pedestrian stands in a single cell and during simulation time steps, transits to neighbouring cells. The size of the cells dictates discrete speed steps...
Cellular automata (CA) have been shown to be suitable for modelling and simulating complex adaptive systems. To achieve adaptation to the exterior environment, Learning Cellular Automata (LCA) have been proposed as an extension of traditional CA, which exhibit only local adaptation, in order to allow a global adaptation of the automaton to its environment. In this paper, a new variant of LCA is described...
Grammar Induction (or Grammar Inference or Language Learning) is the process of learning of a grammar from training data of the positive and negative strings of the language. Genetic algorithms are amongst the techniques which provide successful result for the grammar induction. The paper describes a Pushdown Automata (PDA) simulator used to parse the training data with the grammar induced by the...
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