Titlebook: Systems Science: Theory, Analysis, Modeling, and Design; George E. Mobus Book 2022 Springer Nature Switzerland AG 2022 deep analysis of co

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An Introduction to the Process of Understanding Systems given in Fig. . below). After introducing the whole system and developing the initial deconstruction the chapter will provide a general description and brief explanation of each of these major sub-processes. Each will be more fully explained, with examples of how the processes work, in Parts II, III and IV.

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Analyzing Various Kinds of Example Systemsples is to show how the methods of Chap. . can be applied to all varieties of system types and complexities. These examples provide, essentially, starting points for the top-down deconstruction process and do not attempt an in-depth analysis. However, they should provide directions for others to endeavor more in-depth analyses in the future.

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Designing Complex, Adaptive, and Evolvable Systems are used to refine and elaborate the design in terms of specific subsystems. This chapter ends with an example of a very important CAES for human society, a module that produces food in a sustainable process.

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Ingenuity

Capturing Knowledge of the Systemall knowledge about systems, their subsystems, and all structural relations found in the system of interest. From this knowledgebase can be derived models and simulations as well as designs for artifactual systems (Chap. .).

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The Agent Modelystem will eventually reflect back to the SOI and the agent itself. We look at what kind of a subsystem an agent is and develop a model archetype that applies to all levels of organization within the CAS/CAES realm.

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Introduction,e. Between suffering the unforeseen consequences of technologies that we thought were brilliant (when they were invented) and those of political decisions that seemed right (under the then circumstances), we seem to be witnessing complications in every aspect of societies, the environment, public he

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Principles of Systems Scienceds and successes in application. A central reason for this is that there is not now a single discipline of systems science that is taught as a core topic and there is not a unified concept of systems science being practiced in the field. There is, however, a strong intuitive notion of systemness and

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