Entropy: A Unifying Path for Understanding Complexity in Natural, Artificial and Social Systems
Abstract
This report summarizes some of the points that were learned from various applications of nonadditive entropy and its associated nonextensive statistical mechanics. The focus of the effort is on understanding and influencing causality of change of complex socio-technical systems. The conclusions include that we can understand that almost uncorrelated N elements yield exponentially increasing (with N) possible collective configurations and that the role of memory emerges as mostly relevant.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2011
- Accession Number
- ADA545852
Entities
People
- Constantino Tsallis
Organizations
- Centro Brasileiro de Pesquisas Físicas