Author (Your Name)

Thomas A. Goth, Colby College

Date of Award


Document Type

Honors Thesis (Colby Access Only)


Colby College. Computer Science Dept.


Clare Bates Congdon


This project focuses on developing a novel approach for finding patterns in complex data. Specifically, the computational approach used is a complex adaptive system (CAS), which models complex phenomena as the emergent result of simple interacting components. The focus of the work is to develop a system to study epistasis, the non-linear interactions among genes. The research goals for this project were first to design and implement a complex adaptive system and to learn firsthand about this approach. Second, my goal was to explore the use of this system for investigating genetic epistasis (non-linear interactions among genes) and to apply the system to a specific genetic data set. Both parts of my research need significant explanation and justification, which will be the topic of the next three chapters. For now I will briefly outline this paper.


Full-text download restricted to Colby College campus only.


Epistasis, Computer simulation, Mathematical models, Computer programming, Genetic programming