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Cooperative communication as belief transport
Patrick Shafto1, Junqi Wang1, Pei Wang1
1Rutgers University, Newark, NJ, USA.
Trends in Cognitive Sciences
|August 25, 2021
Summary
Cooperative communication is now understood as belief transport, enabling rigorous analysis of communication models. This optimal transport framework unifies existing theories and reveals new research avenues.
Area of Science:
- Information Theory
- Mathematical Biology
- Statistical Physics
Background:
- Cooperative communication is crucial in biological and artificial systems.
- Existing models often lack a unified theoretical foundation.
- Understanding the statistical and ecological properties of communication is essential.
Purpose of the Study:
- To formalize cooperative communication using the mathematical theory of optimal transport.
- To provide a rigorous framework for analyzing cooperative communication models.
- To unify and differentiate existing models of cooperative communication.
Main Methods:
- Application of optimal transport theory to model belief propagation.
- A priori analysis of statistical properties of communication models.
- Comparative analysis of different cooperative communication frameworks.
Main Results:
- Cooperative communication is rigorously defined as belief transport.
- The optimal transport framework allows for unified analysis of diverse communication models.
- Identified key differences and similarities between prior models.
Conclusions:
- The optimal transport formalization offers a powerful tool for studying cooperative communication.
- This approach facilitates a deeper understanding of the statistical and ecological underpinnings of communication.
- Opens new avenues for research in information theory and related fields.
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