👉 Decided computing, also known as decision computing or rule-based computing, is a paradigm in which computational processes are driven by explicitly defined rules and decision-making logic rather than by data-driven learning or probabilistic models. In this approach, algorithms operate based on a set of predefined if-then statements or rules that dictate how data should be processed and decisions made. This contrasts with machine learning, where systems learn patterns from data to make predictions or decisions without being explicitly programmed. Decided computing is particularly useful in scenarios where the rules governing the system are well understood and can be clearly articulated, such as expert systems in medical diagnosis or legal decision support. However, it may struggle with complex, dynamic environments where data is ambiguous or incomplete, as it relies heavily on the quality and comprehensiveness of the rules provided.
