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AI Research
arXiv CS.AI·Jun 9·5 min read
One if by Land, Two if by Sea, Three if by Four Seas, and More to Come -- Values of Perception, Prediction, Communication, and Common Sense in Decision Making
TL;DR
Decision-making often lacks a clear understanding of how perception, prediction, communication, and common sense contribute to effective choices. This work rigorously defines these values using decision-theoretic frameworks that relate to information theory concepts like Shannon entropy.
✦ Why It Matters
Engineers can leverage these insights to design AI systems that better integrate perception and prediction for improved decision-making.
Key Takeaways
- Assess the value of perception in your decision-making models.
- Incorporate prediction to ensure nonnegative value in AI systems.
- Explore the order of observing and predicting agent behavior.
- Utilize insights from cognitive science to improve AI decision-making.
How It Works
The study defines mathematical quantities related to perception and prediction, establishing their relationships to information theory. By analyzing these values, the research identifies how they influence decision-making processes in autonomous systems.