Principles of Self-Organization for Resilience and Control
Abstract
Complex collectives display a myriad of emergent behaviors like tipping points, cascading failures, adaptation and resilience. It is increasingly important to understand these behaviors as modern systems are built on a collection of self-organizing systems at different scales, integrating socio-technical, cyber-physical, and ecosocial considerations. The overarching goal of this project is to understand underlying principles and mechanisms of self-organization and then use this knowledge for prediction, early detection, and control of complex collectives. We study three guiding principles of self-organization: (i) emergent hierarchies, (ii) consequences of mutualistic interactions (involving bipartite cooperative and competitive interactions), and (iii) self-organized cascading failures.
Document Details
- Document Type
- Technical Report
- Publication Date
- Feb 21, 2020
- Accession Number
- AD1112092
Entities
People
- Raissa M. D'Souza
Organizations
- University of California, Davis