Revolutionizing Social Relations for Sustainable Development Through Innovative Signal Processing
The article discusses how societal change occurs by adapting complex realities to scientific representations. The author presents a model focusing on four problems related to contemporary issues. The study revises previous hypotheses on anticipation and incursion concepts in the context of global trends like the New Economy and Information Society. The goal is to design an intelligent human-machine interface through anticipatory and incursive tasks. This research contributes to systemic and cybernetic studies by exploring the deep connection between social and societal aspects and the importance of anticipation and incursion. The aim is to analyze past, present, and future changes in the world and propose innovative social relations for sustainable development.