Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata Export

@phdthesis{Shalizi01, author = {Shalizi, C. R.}, citeulike-article-id = {5015718}, comment = {Emergence and self-organisation can be defined using statistical complexity, based on the ability of a measurable system (eg. an ε-machine) to reproduce the statistical information characteristics of an actual system. Essentially, looking for a robust way to identify and measure structure, or pattern.}, keywords = {cellular-automata, complexity, self-organisation}, month = {May}, posted-at = {2009-06-29 22:23:14}, priority = {2}, title = {Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata}, year = {2001} }

TY - THES ID - Shalizi01 L3 - citeulike-article-id:5015718 TI - Causal Architecture, Complexity and Self-Organization in Time Series and Cellular Automata KW - cellular-automata KW - complexity KW - self-organisation N1 - Emergence and self-organisation can be defined using statistical complexity, based on the ability of a measurable system (eg. an ε-machine) to reproduce the statistical information characteristics of an actual system. Essentially, looking for a robust way to identify and measure structure, or pattern. AU - Shalizi, CR PY - 2001/05// ER -