Nice Action

This “Nice Action” diagram illustrates how decision-making processes work similarly for both humans and AI:

1. Dual Structure of All Choices: Every decision inherently consists of elements of certainty and uncertainty.
2. Certainty Expansion Strategy: The first step “① Expansion ‘Certain’ First” demonstrates the strategy of maximizing the use of already certain information. This establishes a foundation for decision-making based on known facts.
3. Uncertainty Upgrade: The second step “② Upgrade Possibility to near 100%” represents the process of increasing the probability of uncertain elements to bring them as close as possible to certainty. While complete certainty cannot be achieved for all elements, obtaining sufficiently high probability enhances the reliability of decisions.
4. Similarity to Machine Learning and AI: This decision-making model is remarkably similar to how modern machine learning and AI function. AI systems also operate based on certain data (learned patterns) and use probabilistic approaches for uncertain elements to derive optimal decisions.
5. Transition to Action: Once sufficient certainty is established, the final “ACTION” step can be taken to implement the decision.

This diagram provides insight into how human intuitive decision-making and AI’s algorithmic approach fundamentally follow the same principle—maximizing certainty while managing uncertainty to an acceptable level. The “AI, too” notation explicitly emphasizes this similarity.

With Claude