Bioinspired Concepts: Unified Theory for Complex Biological and Engineering Systems

Abstract

The overall long-term objective of our research is to develop a theoretical foundation for understanding highly evolved and organized complexity, emphasizing the role of network architecture, with application to bio, eco, tech, and social networks, and with strong connections to real-world data. Network-enabled technology can provide unprecedented levels of performance, efficiency, sustainability, and robustness in all domains of science and engineering, and in many areas has already done so. At its best, engineering, biology, and medicine are being transformed by sophisticated platforms to rapidly design/demo/debug/deploy systems of bewildering complexity that are nevertheless typically robust and functional.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA484498

Entities

People

  • John M. Doyle

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Algorithms
  • Complex Systems
  • Compressed Sensing
  • Computational Biology
  • Computer Networks
  • Control Systems
  • Engineers
  • Information Science
  • Information Theory
  • Network Protocols
  • Network Science
  • Operations Research
  • Systems Biology
  • Systems Engineering
  • Wireless Communications
  • Wireless Networks
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Nanocomposite Materials Science
  • Systems Analysis and Design

Technology Areas

  • Biotechnology