
Principles of Systems Science by George E Mobus
This pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and engineering. Systems understanding is increasingly recognized as a key to a more holistic education and greater problem solving skills, and is also reflected in the trend toward interdisciplinary approaches to research on complex phenomena. While the concepts and components of systems science will continue to be distributed throughout the various disciplines, undergraduate degree programs in systems science are also being developed, including at the authors’ own institutions. However, the subject is approached, systems science as a basis for understanding the components and drivers of phenomena at all scales should be viewed with the same importance as a traditional liberal arts education.
Principles of Systems Science contains many graphs, illustrations, side bars, examples, and problems to enhance understanding. Frombasic principles of organization, complexity, abstract representations, and behavior (dynamics) to deeper aspects such as the relations between information, knowledge, computation, and system control, to higher order aspects such as auto-organization, emergence and evolution, the book provides an integrated perspective on the comprehensive nature of systems. It ends with practical aspects such as systems analysis, computer modeling, and systems engineering that demonstrate how the knowledge of systems can be used to solve problems in the real world. Each chapter is broken into parts beginning with qualitative descriptions that stand alone for students who have taken intermediate algebra. The second part presents quantitative descriptions that are based on pre-calculus and advanced algebra, providing a more formal treatment for students who have the necessary mathematical background. Numerous examples of systems from every realm of life, including the physical and biological sciences,humanities, social sciences, engineering, pre-med and pre-law, are based on the fundamental systems concepts of boundaries, components as subsystems, processes as flows of materials, energy, and messages, work accomplished, functions performed, hierarchical structures, and more. Understanding these basics enables further understanding both of how systems endure and how they may become increasingly complex and exhibit new properties or characteristics.
- Serves as a textbook for teaching systems fundamentals in any discipline or for use in an introductory course in systems science degree programs
- Addresses a wide range of audiences with different levels of mathematical sophistication
- Includes open-ended questions in special boxes intended to stimulate integrated thinking and class discussion
- Describes numerous examples of systems in science and society
- Captures the trend towards interdisciplinary research and problem solving
-
Fixed-Point Methods for Fractional-Order Systems
-
Bridging History and Policy
-
Lectures on Nonlinear Dynamics
-
Chaos
-
COVID-19 Epidemiology and Virus Dynamics
-
An Approach to Multi-agent Systems as a Generalized Multi-synchronization Problem
-
Higher-Order Systems
-
Artificial Intelligence, Learning and Computation in Economics and Finance
-
Analysis and Data-Based Reconstruction of Complex Nonlinear Dynamical Systems
-
Semigroup Methods for Evolution Equations on Networks
-
Social Self-Organization
-
Applications of Chaos and Nonlinear Dynamics in Engineering - Vol. 1
-
Imagery Synergetics
-
Complex Time-Delay Systems
-
Mathematical Methods in Time Series Analysis and Digital Image Processing
-
Simulating Complex Systems by Cellular Automata
-
Co-evolution of Intelligent Socio-technical Systems
-
Handbook of Brain Connectivity
-
Emergence, Analysis and Evolution of Structures
-
Nonlinear Dynamics and Chaos: Advances and Perspectives
-
Adaptive Networks
-
International Conference on Theory and Application in Nonlinear Dynamics (ICAND 2012)
-
Understanding Complex Urban Systems: Multidisciplinary Approaches to Modeling
-
Downward Causation and the Neurobiology of Free Will
-
Temporal Networks
-
Without Bounds: A Scientific Canvas of Nonlinearity and Complex Dynamics
-
Complex Systems and Self-organization Modelling
-
Mathematical Analysis of Urban Spatial Networks
-
Directed Information Measures in Neuroscience
-
Lectures in Supercomputational Neuroscience
-
Systems Engineering, Systems Thinking, and Learning
-
Complex Human Dynamics
-
Constructal Law and the Unifying Principle of Design
-
Emergent Properties in Natural and Artificial Dynamical Systems
-
Fault Detection and Diagnosis in Nonlinear Systems
-
Complex Dynamics in Communication Networks
-
Energy Policy Modeling in the 21st Century
-
Nonlinear Power Flow Control Design
-
Modern Mathematics and Mechanics
-
Analytical and Approximate Methods for Complex Dynamical Systems
-
Better Decision Making in Complex, Dynamic Tasks
-
Artificial Intelligence and Complex Dynamical Systems
-
Applications of Chaos and Nonlinear Dynamics in Science and Engineering - Vol. 3
-
Networks of Networks: The Last Frontier of Complexity
“Principles of systems science consists of 14 chapters organized in five parts… This book is a feast--full of systems theory and sage guidance about systems practice.” (Ernest Hughes, Computing Reviews, computingreviews.com, August, 2016)
| SKU | Unavailable |
| ISBN 13 | 9781493919192 |
| ISBN 10 | 1493919199 |
| Title | Principles of Systems Science |
| Author | George E Mobus |
| Series | Understanding Complex Systems |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer-Verlag New York Inc. |
| Year published | 2014-11-11 |
| Number of pages | 755 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |











































