- Category
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Course Syllabus
- Name
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Computation, Complexity and Emergence
- Image
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- Description
- This course will explore the nature and effects of complexity in natural and artificial systems. Complexity arises in these systems from many sources, including self-similarity, parallelism, recursion, and adaptation. Through these mechanisms, simple local behaviors and patterns can produce complex, intricate, and often fascinating emergent global behaviors. These phenomena arise in diverse areas, from biology (ant colonies, fish schools) to economics (stock market bubbles, opinion formation) to physics (galactic clusters, weather patterns). We will use Gary Flake's text, The Computational Beauty of Nature, and Melanie Mitchell's Complexity: A Guided Tour as starting points to investigate the sources and dynamic properties of complex systems.
- Institution
- University of Maryland, Baltimore County
- Author
- Marie desJardin
- Topics
- Chaos, Fractals, Economics, Emergence, Complex Systems
- URL
- http://www.csee.umbc.edu/~mariedj/complexity/2016/
