Rule-Based Chatbots
Rule-based chatbots are conversational AI systems that operate on predefined rules and decision trees to respond to user inputs. They use pattern matching and if-then logic to interpret queries and generate appropriate responses based on a fixed set of rules. These chatbots are deterministic and do not learn from interactions, making them suitable for structured and predictable scenarios.
Developers should learn rule-based chatbots for applications requiring high reliability, transparency, and control, such as customer support FAQs, appointment scheduling, or simple data retrieval tasks. They are ideal when the conversation flow is well-defined and predictable, as they ensure consistent responses and are easier to debug and maintain compared to machine learning-based alternatives.