George E. Mobus is an Associate Professor of Computer Science & Systems and Computer Engineering & Systems in the Institute of Technology at the University of Washington Tacoma. In addition to teaching computer science and engineering courses, he teaches courses in systems science to a broad array of students from across the campus. He received his PhD in computer science from the University of North Texas in 1994. His dissertation, and subsequent research program at Western Washington University, involved developing autonomous robot agents by emulating natural intelligence as opposed to using some form of artificial intelligence. He is reviving this research agenda now that hardware elements have caught up with the processing requirements for simulating real biological neurons. He also received an MBA from San Diego State University in 1983, doing a thesis on the modeling of decision support systems based on the hierarchical cybernetic principles presented in this volume. He did this while actually managing an embedded systems manufacturing and engineering company in Southern California. His baccalaureate degree was earned at the University of Washington (Seattle) in 1973, in zoology. He studied the energetics of living systems and the interplay between information, evolution, and complexity. By using some control algorithms that he had developed in both his undergraduate and MBA degrees in programming embedded control systems he solved some interesting problems that led to promotion from a software engineer (without a degree) to the top spot in the company. Michael C. Kalton is Professor Emeritus of Interdisciplinary Arts and Sciences at the University of Washington Tacoma. He came to systems science through the study of how cultures arise from and reinforce different ways of thinking about and interacting with the world. After receiving a Bachelor¿s degree in Philosophy and Letters, a Master¿s degree in Greek, and a Licentiate in Philosophy from St. Louis University, he went to Harvard University where in 1977 he received a joint Ph.D. degree in East Asian Languages and Civilizations, and Comparative Religion. He has done extensive research and publication on the Neo-Confucian tradition, the dominant intellectual and spiritual tradition throughout East Asia prior to the 20th century. Environmental themes of self-organizing relational interdependence and the need to fit in the patterned systemic flow of life drew his attention due to their resonance with East Asian assumptions about the world. Ecosystems joined social systems in his research and teaching, sharing a common matrix in the study of complex systems, emergence and evolution. The interdisciplinary character of his program allowed this integral expansion of his work; systems thinking became the thread of continuity in courses ranging from the world¿s great social, religious, and intellectual traditions to environmental ethics and the systems dynamics of contemporary society. He sees a deep and creative synergy between pre-modern Neo-Confucian thought and contemporary systems science; investigating this potential cross-fertilization is now his major research focus.

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

Includes supplementary material: [...]

Part I: Introduction to Systems Science.- A Helicopter View.- Systems Principles in the Real World: Understanding Drug Resistant TB.- Part II: Structural and Functional Aspects.- Organized Wholes.- Networks: Connections Within and Without.- Complexity.- Behavior: System Dynamics.- Part III: The Intangible Aspects of Organization: Maintaining and Adapting.- Information, Meaning, Knowledge, and Communications.- Computational Systems.- Cybernetics: The Role of Information and Computation in Systems.- Part IV: Evolution.- Auto-Organization and Emergence.- Evolution.- Part V: Methodological Aspects.- Systems Analysis.- Systems Modeling.- Systems Engineering.