PRODIGY: Self-reflection

Description

• Prodigy incorporates several different learning modules which make use of the agent's glass-box architecture to reflect on the agent's actions and knowledge
  • Static accesses the contents of the agent's knowledge base to form new control rules
  • EBL and Analogy use problem-solving traces to create new control rules based on the agent's previous actions