10System Modeling Paradigms

10.1 Background

The modeling steps required for the identification, quantification, and evaluation for a successful system model are fundamental and diverse. To develop an accurate, quantitative system model that can contribute to the existing knowledge, support effective utilization, and bear critical, external, and independent review requires extensive background research and evaluation of the existing knowledge and supporting data regarding the system. Such extensive research effort to access existing data and evaluation is necessary to ensure that the final system model developed will adequately address the system with current information and accurate evaluation of the systems behavior. Then the result is a defensible and useful contribution to the field of System Science.

Wikimedia is the title for the contemporary global collection of a hundred million freely accessible internet data files that provide a growing, diverse data source and virtual data library for system science. The entities that constitute this encyclopedic collection of knowledge are constantly reviewed and updated by users with contemporary information. Thus, the practitioner of system science has immediate access to the current state‐of‐the‐art information and knowledge regarding essentially any field of interest. The worldwide internet has virtually supplanted printed books, encyclopedias, data banks, technical journals, and printed document libraries. Therefore, the successful ...

Get Introduction to System Science with MATLAB, 2nd Edition now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.