Signals and Boundaries: Building Blocks for Complex Adaptive Systems

By John H. Holland. 2012

225 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/1f3ac782914dbef40465880363669c2e49be17f1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Phil Hiver
2. Mostafa Papi
3. Vinodkumar Prabhakaran
4. Donald Martin
5. William S. Isaac
6. Andrew Smart
7. Jill A. Kuhlberg
8. Y. Teimouri

Citations in the corpus

• Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context (2020, methodology): “For example, self-organization, chaotic behavior, fat tailed behavior and power law scaling - key elements of CAS - are not necessary to detail for the purpose of this paper, which is the introduction of our framework combining elements of CAS and community based system dynamics become building bloc”
• Language Learning Motivation as a Complex Dynamic System: A Global Perspective of Truth, Control, and Value (2020, background): “Complex adaptive systems are systems that adapt, evolve, and learn in the process of interacting with dynamic environments (Holland, 2012).”