Complex Adaptive Systems

  title={Complex Adaptive Systems},
  author={John H. Holland},
Course Description: A graduate level introduction to selected topics in complex adaptive systems focusing on computational tools to simulate and measure complexity, and analysis of biological and social complex adaptive systems. Topics include definitions of complexity, cellular automata, evolution and genetic algorithms, dynamical systems, scaling and fractals, ant colonies and ant colony algorithms. 
Highly Influential
This paper has highly influenced 20 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 311 citations. REVIEW CITATIONS

From This Paper

Topics from this paper.


Publications citing this paper.
Showing 1-10 of 159 extracted citations

How Did It Happen? A Memetic Theory of Interorganizational Information Systems Emergence and Evolution

2014 47th Hawaii International Conference on System Sciences • 2014
View 8 Excerpts
Highly Influenced

Social Computing, Behavioral - Cultural Modeling and Prediction

Lecture Notes in Computer Science • 2012
View 5 Excerpts
Highly Influenced

Notice of RetractionRole-based knowledge structures in Complex Adaptive Logistics Systems

2010 IEEE International Conference on Advanced Management Science(ICAMS 2010) • 2010
View 8 Excerpts
Highly Influenced

311 Citations

Citations per Year
Semantic Scholar estimates that this publication has 311 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.

Perelson " Genetic Algorithms and the Immune System


Similar Papers

Loading similar papers…