Exploring Virtual Worlds with Cultural Algorithms
Thomas Palazzolo, Robert G. Reynolds, Samuel Dustin Stanley · 2020
In this paper, we document and examine the Land Bridge system, a program concerned with the extrapolation of multiple layers of information from a massive data collection with the aim of generating culturally driven artificially intelligent agents that can yield results, which can aid in the discovery efforts of real-world archaeologists. Over 270 gigs of data were examined and transformed into a simulated landscape populated with agents that reacted to the simulated world and one another.