👉 Natural computing refers to the use of computational models and systems that are inspired by or mimic natural processes, phenomena, and structures found in the biological world. It encompasses a variety of approaches, including but not limited to neural networks, genetic algorithms, swarm intelligence, and biologically inspired computing paradigms. These methods leverage the inherent parallelism, adaptability, and robustness of natural systems to solve complex problems in areas such as optimization, pattern recognition, and machine learning. Unlike traditional computing, which relies on binary logic and deterministic algorithms, natural computing embraces stochasticity, self-organization, and emergent behavior, offering innovative solutions that can adapt and learn from their environment in ways that traditional computing paradigms cannot.
