Astro-Archaeology: Uncovering Ancient Signals from the Cosmos

This paper discusses methodologies for detecting and interpreting potential technosignatures from extraterrestrial intelligences within archival astronomical data. We propose a novel set of algorithms based on machine learning to sift through decades of radio telescope data, searching for non-natural signals that may have been previously overlooked. The paper also explores the game-theoretical implications and protocols for contact should a credible signal be identified, contributing to the broader field of SETI (Search for Extraterrestrial Intelligence).