Example Concept: Fallback logic in chatbots involves setting up default responses or actions when the bot cannot understand or match user input to any predefined intents. This typically includes providing a generic message, asking clarifying questions, or redirecting the user to a human agent. Effective fallback strategies also involve logging these interactions for continuous improvement and updating the bot's training data to handle similar queries better in the future.