Analyzing prehistoric hunter behavior with cultural algorithms

This paper details a cultural algorithm (CA) system designed to assist archaeological expedition teams in the task of finding historic artifacts. In our system, the goals that the agents are trying to achieve continuously change as the environment changes. We are thus able to simulate the real-world challenge of a dynamic environment that human cultures must deal with and react to, making our system a very useful tool for finding the archaeological remains of such cultures. Although it is very new, our system has already had yielded promising results in the service of Dr. John O´Shea´s Lake Huron expedition team which is studying the prehistoric Alpena-Amberley Land Bridge. We hope to use it to assist other expeditions as well in the near future.