#ISSS2016 Boulder

2845 Systems are multi-dimensional, complex and have multiple ideals. One of the biggest problems with systems is the uncertainty on where do they begin and where do they end; what is inside and what is outside. This is because what is perceived to be the system is an approximation of the real system. It is possible to learn about the real system incrementally and improve the approximate system or system-in-focus; as the gap between the approximate and the real system is the source of the feedback and the basis for the incremental understanding. One iteration of understanding the real system could be identifying interesting properties, cognizing interesting insights based on these properties and creating models that capture this information. In the world of systems, an iterative approach to incrementally obtain understanding involves successively spanning many dimensions of the system and adopting a holistic attitude with regard to it. Holism spans multiple dimensions and is based on independence. Traditionally, system thinkers adopt an array of modelling approaches (influence diagrams, system dynamics models, viable system models, living systems models and so on) to develop an understanding of the system. In order to create a holistic view of the system, multiple models are collated, with each model defining a set of properties corresponding to the respective concerns. The different models allow system thinkers to look at the system at different levels of detail. They can be used to structure, identify, analyse and synthesize systems wherein each model commutes with the systems and relates to it. Each model is understood, worked upon and then composed keeping in mind the constraints of the system and the conditions in which the system exists. They can be either independent or dependant and dynamic. Each model is a different perspective in representing the system and if semantically motivated explains how the system is understood, analysed and synthesized. In this paper, the architecture of a modelling platform that provides the ability to model different aspects of the system is discussed. The objective of this platform is to support modelling as a capability so that a holistic understanding of the system can be developed. The focus is on those models and modelling approaches that can be supported by information systems in the form of tools. The discussion in this paper also stems around a unified model of the system which is constructed by taking into account the different perspectives obtained by modelling the system using different approaches. The instantiation of the architecture to realize a platform for modelling systems is presented. Keywords – Systems, Models, Multi-Models, Holism, Modelling Platform, Modelling Approaches.