Principles of System Science
- Virtually unique introductory recent textbook (2014) in systems science, part of Springer's more technical series, Understanding Complex Systems.
Well organized and accessibly written, requiring only algebra to understand the quantitative demonstrations, with more advanced mathematical examples in some sub-disciplinary fields relegated to to "Quant Boxes". The human brain as a complex adaptive system is considered in a series of "Think Boxes". Clear organization, illustrations and tables, chapter summaries and bibliographies, and "Question Boxes" round out reader aids to understanding and applying systems principles.
- University of Washington Tacoma
- George E. Mobus, Michael C. Kalton
- Systems Theory, Networks, Dynamical Systems, Information Theory, Computation, Emergence, Evolution, Modeling