👉 Represented computing is a theoretical framework that views computation as the manipulation of symbolic representations, akin to how humans process language and abstract concepts. In this model, data and computations are represented using mathematical structures such as sets, functions, and logical expressions, rather than through direct manipulation of bits or primitive data types. This perspective draws parallels between computational processes and cognitive operations, suggesting that the human mind operates similarly by transforming and combining symbolic representations. By abstracting computation into these higher-level constructs, represented computing provides a bridge between artificial intelligence and cognitive science, offering insights into how intelligent behavior might emerge from the manipulation of symbols. This framework has implications for developing more intuitive and human-like AI systems that can reason, understand, and generate language effectively.
