Faculty of Informatics and Statistics, Department of Information and Knowledge Engineering (DIKE)

Date and time: March 10 2006 (10:30 – 12:00).

Room: 403 NB


Complex Adaptive Systems


  • Mirsad Hadzikadic, Dean, College of Information Technology, University of North Carolina at Charlotte, USA

Complex adaptive systems (CAS) are networked (agents/parts interact with their neighbors and, occasionally, distant agents), non–linear (the whole is greater than the sum of its parts), adaptive (the system learns to change with its environment), open (new resources are being introduced into the environment), dynamic (the change is a norm), emergent (new, unplanned features of the system get introduced through the interaction of its parts/agents), and self–organizing (the parts organize themselves into a hierarchy of subsystems of various complexity). Ant colonies, networks of neurons, the immune system, the Internet, social institutions, organization of cities, and the global economy are a few examples where the behavior of the whole is much more complex than the behavior of the parts. This talk will cover those and similar topics in an interactive manner.

Downloads: slides 1 

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