作者Stanley, Samuel Dustin
Wayne State University. Computer Science
書名Analyzing environmental change and prehistoric hunter behavior through a 3D time-lapsed model with level auto-generation and cultural algorithms
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說明105 p
附註Source: Masters Abstracts International, Volume: 52-01
Adviser: Robert G. Reynolds
Thesis (M.S.)--Wayne State University, 2013
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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
School code: 0254
主題Computer science
Artificial intelligence
Archaeology
Native American studies
0984
0800
0324
0740
ISBN/ISSN9781303284694
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