Use cases and examples
Reflective intelligent agents have been equipped to support a number of emerging business applications. A reflective agent can efficiently apply self-assessment and introspection to improve its performance against changing environments for the purpose of making more effective business decisions, thus continuing to improve in a transparent and explainable manner. Some examples of reflective agents applied in real business applications are as follows.
Customer service chatbots
Reflective customer service chatbots employ self-assessment methodologies to continuously improve their ability to provide effective and satisfactory responses to users. By introspecting on past conversations, these chatbots can identify patterns, strengths, weaknesses, and areas for improvement, enabling them to refine their knowledge base, response strategies, and overall interaction capabilities.
One key aspect of self-assessment is the ability to analyze the outcomes of past...