Abstract
The research described in this paper was motivated by the idea to process purposefully given spike-trains using a cellular automaton (CA). CAs have three attractive features, namely massive parallelism, locality of cellular interactions, and simplicity of basic components (cells). However, the difficulty of designing a CA for a specific behavior causes limited interest in this computational paradigm. Automating the design process would substantially enhance the viability of CAs. Evolving CAs for purposeful computation is a scientific challenge undertaken to date by, among others, Mitchell et al. [1], Sipper et al. [2] and de Garis et al. [3].
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References
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Liu, J., Buller, A. (2004). Evolving Spike-Train Processors. In: Deb, K. (eds) Genetic and Evolutionary Computation – GECCO 2004. GECCO 2004. Lecture Notes in Computer Science, vol 3103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24855-2_47
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DOI: https://doi.org/10.1007/978-3-540-24855-2_47
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