Social Sciences Project Abstract
ARTIFICIAL INTELLIGENCE, COMPLEX ADAPTIVE SYSTEMS, AND THEIR APPLICATION TO COGNITIVE SCIENCE
Presenters:
Justin M. Doran, Illinois Mathematics and Science Academy, 1500 West Sullivan Road, Aurora, IL, 60506; beesting@imsa.edu
Jennifer Huang, Illinois Mathematics and Science Academy, 1500 West Sullivan Road, Aurora, IL, 60506; jen5720@imsa.edu
Elaine C. Khoong, Illinois Mathematics and Science Academy, 1500 West Sullivan Road, Aurora, IL, 60506; soccagrl@imsa.edu
Mentor:
Mr. Michael Ososky, Applied Computer Technology, 69 South LaSalle St., Aurora, IL, 60505; 630-896-2281 x24; 630-859-7576; mike@expocad.com
Abstract:
The central concept of our research this year was the complex adaptive system. This is the idea of a group of independent agents that form an epiphenomenon that is capable of adaptive action. In the presence of certain system properties, such as a computational nature, intelligence will arise regardless of the substrate. One type of complex adaptive system is the particle swarm. This particularly recent concept relies on the assumption that all intelligence is social, which is contrary to the traditional view that all cognizances are independent and internal. We spent our time reading various expert sources on the ideas surrounding these concepts. Our reading also touched on the fundamentals of artificial intelligence, cognitive philosophy, psychology, memetics, and evolutionary systems.