Access Type
Open Access Thesis
Date of Award
January 2013
Degree Type
Thesis
Degree Name
M.S.
Department
Computer Science
First Advisor
Robert G. Reynolds
Abstract
This paper describes a system containing two portions whose purpose it is to help further the Alpena-Amberley Land Bridge research project and similar archaeological research. The first portion is a "time engine" which one can utilize to navigate through time in order to see how environmental conditions evolved as time passed, or to run experiments during a desired time period. The second portion is a hunting blind cultural algorithm, which is built on top of the time engine as well as Palazzolo's program. In this portion, the AI hunting blinds react to the goals that they are trying to achieve, and the goals themselves change as the environment changes over time. When the cultural algorithm is finished, the system also produces a frequency heatmap showing how often the system predicted a hunting blind within each location throughout the entire time period. Archaeologists can use this to determine which places in the area would be most worthy of sending an expedition.
Recommended Citation
Stanley, Samuel Dustin, "Analyzing Environmental Change And Prehistoric Hunter Behavior Through A 3d Time-Lapsed Model With Level Auto-Generation And Cultural Algorithms" (2013). Wayne State University Theses. 276.
https://digitalcommons.wayne.edu/oa_theses/276
Included in
Artificial Intelligence and Robotics Commons, History of Art, Architecture, and Archaeology Commons