An insight into the evolution of intelligent information processing technologies until 2025

Abstract

This paper presents the methodology and results of a recent research project SCETIST (2010-2013) devoted to foresight of selected artificial intelligence technologies. The AI trends and scenarios have been elicited using expert Delphi as well as via a simulation of a hybrid discrete-time and discrete-event control system. The system components include a complex information society model, which describes the evolution of social, economic and scientific factors relevant to the production and adsorption of intelligent technologies. The discrete-event component is tailored to model the and science and technology (S&T) development processes in each area under consideration. We specifically investigated the development of intelligent internet technologies, including e-health, e-government and expert systems. Special attention has been paid to decision support systems, digital creativity, and recommenders. Other project work-packages encompass neurocognitive and computer vision systems, as well as quantum and molecular computing. Finally, we will present the results related to the evolution of rule-based and creativity support systems in the context of global economic and research trends.