梅萨·罗维奇的 Work

　　His research interests include the following areas: Complexity, Complex systems theory, Global Change and Sustainable Human development, Hierarchical Systems, Large-scale systems theory, Mathematical theory of general systems, Multi-level systems, Systems biology, and World and regional modeling. His first publication in 1960 was about Multi-variable Control Systems. In the field of mathematics he was founder of:

Mathematical theory of coordination Multi-level Hierarchical Systems Developer, Negotiation Support Software System

　　The last ten years of his career, he has concentrated his teaching at the undergraduate level, focusing on future-oriented and interdisciplinary education. Hereby he developed the “Global Issues: A Critical Thinking and Problem-solving Approach” course popular with both engineering and arts and sciences students.

　　Mathematical systems theory

　　Mathematical research on systems theory, according to Mesarovic, is traceable to the work of Ptolemy, Copernicus, Kepler, Galileo, Newton, Euler, Laplace, Gauss, and Jaromír Korčák, among others. They tried to find solutions for difficult physical problems in dynamics connected with so-called systems of the world. Since the 16th century these scientists provided both knowledge and improved navigational techniques.

　　In the second half of the 19th century systems theory evolved in technology, influenced by physico-mathematical inquiries such as on power-plant governors from J. C. Maxwell on position control system of the steering engine of ships from N. Minorsky and in the 20th century beginning with Norbert Wiener on extrapolation of servo mechanisms and other cybernetic systems. Further developments here were by Claude Shannon on communication systems, secrecy systems, and digital switching systems. By R.E. Kalman on general linear filters. And since the 1950s the research on adaptive or self-organizing control systems by W. Ross Ashby, R. E. Bellman, L.A. Zadeh and others.

　　In Mesarovic's General systems theory: Mathematical foundations (1975) he wanted to provide a unified and formalized mathematical approach to all major systems concepts. He doesn't look at any practical applications nor philosophical ramifications of general systems theory. His attention is devoted to formal aspects of deterministic input-output systems, learning systems, decision-making systems, and goal-seeking systems, per se.

　　The development of mathematical models for general systems theory has been extensively developed by Mihajlo D. Mesarovic. His “A Mathematical Theory of General Systems,” has developed measures for system properties. This work restricts to the measures to “General Systems Theory of Hierarchical Systems.”. Mesarovic also introduces a “coordination strategy” to adjust the theoretical projections with actual observations. As described, it appears to simply classify two sets of systems, those that can be adjusted and those that cannot. Now Mesarovic has contributed greatly to the mathematical development of general systems theory. His system models however were not founded on theory. One such model is the WIM (World Integrated Model) that was developed with 49 subroutines. It was quite refined in that it utilized about 21,000 numbers to describe the state of the global system at any one time.

　　Systems biology

　　Mesarovic remains active in the field of systems biology. In 1968, he published Systems Theory and Biology and organized a “Systems Theory and Biology” symposium at Case, launching a new scientific discipline, from which the Department of Biomedical Engineering evolved. In 1976 he wrote about complex systems biology, with Takahara. And in 2004 he became the senior investigator of the Systems Biology and Mismatch Repair Project, an NIH-sponsored study.

　　Complex systems biology is the application of complex systems knowledge to understanding biological problems. This builds on the paradigm of organized complexity and requires a search for organizing principles. For example, therapeutics needs to search for devices, drug targets etc. guided by organizing principles.

　　Systems biology can be divided according to Mesarovic in two:

Mathematical systems theory: This is based on dynamic systems and control theory. Key concepts are homeostasis from Cannon and the control of information in Human and Animals. Computational Biology: This is based on data based modeling using computer algorithms.

　　Complex systems theory

　　In the late 1960s, anticipating that complexity would become a defining paradigm for the next century, he developed theoretical tools that have found applications in many scientific disciplines and in global issues, particularly environmental problems.

　　Global issues and sustainable development

　　The Club of Rome was founded in 1968 at a meeting of 30 scientists, educators, economists, humanists, industrialists, and international and national civil servants. In 1972 they published "Limits to Growth" which projected the extinction of vital resources within 100 years. Suddenly the Third World was being told that growth wasn't the solution to poverty after all, and to forget all that stuff about development policy.

　　In 1974, with colleague Eduard Pestel, Mesarovic published, "Mankind at the Turning Point", a nonfiction bestseller in Europe, which has been described as “An enormous step forward in our understanding of the essence of the worst bottlenecks our world is facing.”

　　GLOBESIGHT: A Reasoning Support Tool

　　In the 1996 article Cybernetics of global change: human dimension and managing of complexity Mesarovic, McGinnis and West laid out some philosophical concepts for a scenario analysis program GLOBESIGHT: A Reasoning Support Tool. This program GLOBal foreSIGHT is useful in understanding the past, evaluating the present and looking into different feasible (not probable or just possible) futures. The program is developed by the Global Systems Group jointly with Mihajlo D. Mesarovic and Sree N. Sreenath at Case Western Reserve University, Cleveland, Ohio, USA.

　　The GLOBESIGHT analysis support system consists of four modules:

Information Base: This module contains quantitative, and verbal, (or qualitative) data and information that is useful to the user for consulting during the exploration of an issue at hand. Models Base: The models base consists of models of sub-systems such as population/demographics, economics, resource supply and demand evolution, etc. Issues Base: Using the models base as basic building blocks one can construct systems to study specific issues in detail. Functionality Base: The functionality deals with three issues basically – input, output, and process.

　　Regionalized Multi-level World Models Decision