A Firefly-inspired Model for Deciphering the Alien

TL;DR

This paper proposes a firefly-inspired model for detecting extraterrestrial signals by focusing on structural properties and contrast with natural backgrounds, challenging traditional assumptions about complexity and decipherability in SETI.

Contribution

It introduces a novel approach to SETI that uses biological communication patterns to identify potential alien technosignatures based on structural contrast rather than complexity.

Findings

Simulated signals show distinguishability from natural pulsar signals.

Focus on structural properties enables detection without decoding content.

Model broadens SETI methodology beyond anthropocentric assumptions.

Abstract

The Search for Extraterrestrial Intelligence (ETI) is, historically, a search for aliens like us, inspired by human centric ideas of intelligence and technology. However, humans are not the only instance of an intelligent, communicating species on Earth, and thus not guide to how we might think about ETI. Here, we explore the potential for the study of non-human species to inform new approaches in SETI research, using firefly communication patterns as an illustrative example. Fireflies communicate their presence through evolved flash patterns distinct from complex visual backgrounds. Extraterrestrial signals may also be identifiable not by their complexity or decodable content, but by the structural properties of the signal, as currently being explored in efforts to decode communication in non-human species across our biosphere. We present a firefly-inspired model for detecting potential technosignatures within environments dominated by ordered astronomical phenomena, such as pulsars. Using pulsar data from the Australia Telescope National Facility, we generate simulated signals that exhibit evolved dissimilarity from the surrounding pulsar population. This approach shifts focus from anthropocentric assumptions about intelligence toward recognizing communication through its fundamental structural properties, specifically, evolutionarily optimized contrast with natural backgrounds. Our model demonstrates that alien signals need not be inherently complicated nor need we decipher their meaning to identify them; rather, signals might be distinguishable as products of selection. We discuss implications for broadening SETI methodologies, leveraging the diverse forms of intelligence found on Earth.