Clemson University TigerPrints All Dissertations Dissertations 5-2014 A Computational Model of Memetic Evolution: Optimizing Collective Intelligence Noah Welsh Clemson University,
[email protected] Follow this and additional works at: https://tigerprints.clemson.edu/all_dissertations Part of the Computer Sciences Commons, and the Educational Leadership Commons Recommended Citation Welsh, Noah, "A Computational Model of Memetic Evolution: Optimizing Collective Intelligence" (2014). All Dissertations. 1383. https://tigerprints.clemson.edu/all_dissertations/1383 This Dissertation is brought to you for free and open access by the Dissertations at TigerPrints. It has been accepted for inclusion in All Dissertations by an authorized administrator of TigerPrints. For more information, please contact
[email protected]. A COMPUTATIONAL MODEL OF MEMETIC EVOLUTION: OPTIMIZING COLLECTIVE INTELLIGENCE A Dissertation Presented to the Graduate School of Clemson University In Partial Fulfillment of the Requirements for the Degree Doctorate of Philosophy Educational Leadership by Noah H. Welsh May 2014 Accepted by: Russ Marion, Committee Co-Chair Joshua Summers, Committee Co-Chair Leslie Gonzales Jon Christiansen ABSTRACT The purpose of this study was to create an adaptive agent based simulation modeling the processes of creative collaboration. This model aided in the development of a new evolutionary based framework through which education scholars, academics, and professionals in all disciplines and industries can work to optimize their ability to find creative solutions to complex problems. The basic premise follows that the process of idea exchange, parallels the role sexual reproduction in biological evolution and is essential to society’s collective ability to solve complex problems. The study outlined a set of assumptions used to develop a new theory of collective intelligence.