Entropy-based information recovery in complex behavioural systems
Abstract
Reigning reductionist econometric paradigms greatly simplify complex behavioural processes. Using concepts from entropy methods and nonequilibrium systems dynamics, we develop a theoretical framework for self-organizing and optimizing macro-level behaviour that is based on nonlinear micro-level behaviour.
Fields of Study & Subjects
Blind Source Separation Techniques
Neural Networks and Applications
Neural Networks and Reservoir Computing
Publication details
- Journal / source
- Applied Economics Letters
- Pages
- 1–5
- Publication date
- 6 January 2026
- Language
- EN