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cloud.google.com·7h ago
AI Research
arXiv CS.AI·Sep 12·5 min read
A Mathematical Theory of Pragmatic Information
TL;DR
A new pragmatic information theory integrates communication, control, and decision-making, introducing concepts like pragmatic entropy and value of information. This framework enhances understanding of intelligent systems by focusing on the effectiveness of information in guiding actions.
✦ Why It Matters
Consider adopting this framework to enhance decision-making processes in your AI systems today.
Key Takeaways
- Explore the isoteleia mapping for optimizing decision-making paths.
- Utilize pragmatic entropy to measure information effectiveness.
- Apply the pragmatic efficiency bound to assess system utility.
- Integrate this framework into autonomous systems for improved task orientation.
How It Works
The isoteleia mapping formalizes equifinality, allowing for multiple semantic paths to achieve the same optimal action. This leads to a three-tier hierarchy of information: syntactic, semantic, and pragmatic, each discarding irrelevant distinctions.
The framework introduces new metrics like pragmatic entropy and mutual information, which help quantify the effectiveness of information in guiding actions.