How do rule-based chatbots function?

Rule-based chatbots operate by adhering to predefined rules and scripts set by their developers. They follow a structured approach, relying on a set of specific commands or keywords to determine the appropriate responses to user inputs. Each possible user input is matched against these rules, allowing the chatbot to provide a consistent and predictable interaction. This method is particularly effective in scenarios where the conversation topics are well-known and don’t require the chatbot to handle unexpected or complex inquiries.

In contrast to learning from user interactions or analyzing data, which are characteristics more aligned with advanced AI or machine learning systems, rule-based chatbots strictly execute the scripts created for them. They do not evolve or adapt over time based on user feedback or experiences, making their responses limited to what has been explicitly programmed. Thus, their operation is straightforward and reliable but does not encompass the adaptability seen in more sophisticated chatbot designs.