Information-Theoretic Approach to Intentionality in Neural Networks

This research paper explores a novel approach to understanding intentionality within neural networks using information theory. The paper likely investigates how to create more unambiguous and interpretable representations within these complex systems, which could improve their reliability and explainability.

• •Applies information-theoretic principles to the study of intentionality.
• •Aims to create more unambiguous representations within neural networks.
• •Potentially improves the explainability and reliability of AI systems.