Equationless qualitative models of science parks: part I, individual scenarios as models solutions

Abstract

Each science park (SP) is a unique system. It is therefore prohibitively difficult to use traditional methods of SP analysis e.g., statistical analysis which require relatively extensive input information. A qualitative description is information non–intensive. It is based just on three values: positive, zero, negative. A qualitative modelling is therefore suitable for such poorly known and complex systems as SPs. Knowledge items of qualitative nature, e.g., if productivity goes up then profit does not decrease, are often the only available SP information items. Sets of such knowledge items are transferred into equationless models. A set of 22 qualitative equationless relations, among 21 variables (e.g., Quality of R&D engineers, Cooperation between industries and academics) is used as a case study. SP models incorporate variables of different nature and consequently of time behaviours. Therefore slow and fast models SP models are studied. The model's solutions i.e., set of slow and fast scenarios and transitions among them, are presented in full details.