Thinking in Complexity

DOI10.1007/978-3-540-72228-1zbMath1163.37001OpenAlexW4244077370MaRDI QIDQ5441416

Klaus Mainzer

Publication date: 13 February 2008

Full work available at URL: https://doi.org/10.1007/978-3-540-72228-1

zbMATH Keywords

complexitychaosneural networksinformationartificial intelligenceturbulencestochastic processevolutionmarket equilibriumnonlinear dynamical systemscomputabilitypower lawsquantum informationorganic computingneurobionicsprobabilistic attractor

Mathematics Subject Classification ID

Dynamical systems in biology (37N25) Neural networks for/in biological studies, artificial life and related topics (92B20) Economic growth models (91B62) Strange attractors, chaotic dynamics of systems with hyperbolic behavior (37D45) Economic models of real-world systems (e.g., electricity markets, etc.) (91B74) Models of societies, social and urban evolution (91D10) Introductory exposition (textbooks, tutorial papers, etc.) pertaining to dynamical systems and ergodic theory (37-01) Dynamical systems in optimization and economics (37N40) General topics in artificial intelligence (68T01) General biology and biomathematics (92B05)

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