Drawing inspiration from the cooperative nature observed in social entities like anthills, the notion of cooperative systems. This notion has evolved into a significant area of study within computer science and with the notion of a multi-agent paradigm that extended beyond conventional programming. Nature-inspired modeling was applied for computer programming and its evolution supports or may support applications in other phenomena, including human systems as, for example, its application in Education. The initial inspiration provided intellectual support for the modeling and design of systems that address challenges requiring coordination and communication among diverse components to achieve shared objectives. This versatile paradigm finds applications across a spectrum of disciplines, serving as a valuable tool for simulating intricate physical or social phenomena, implementing distributed artificial intelligence, and constructing distributed expert systems. Its adaptability positions it as a computing paradigm applicable to a wide array of challenges spanning various fields. Following a foundational exploration of this paradigm, our presentation will delve into its diverse applications across multiple disciplines. We will particularly emphasize its relevance in intelligent mobility, ambient assistance for individuals, video games, and education, showcasing its potential to foster transdisciplinary collaborations and address complex issues through innovative approaches.