Explainable Planning (Explain Plan) refers to a branch of AI planning focused on making the reasoning behind AI plans understandable and justifiable to humans. Instead of just providing a sequence of actions, an Explain Plan also offers insights into why those actions were chosen, what goals they achieve, and what alternatives were considered but rejected. This is typically achieved through techniques like plan tracing, justification generation, and counterfactual reasoning, helping users understand the AI's decision-making process and build trust in its plans. This technology is commonly used in applications where transparency and accountability are important, such as autonomous systems, decision support tools, and collaborative robots.
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