A_Passive_Spatial_Chemical_Encoder_Decoder_Achieving_512_Bit_Binary_Information_Transmission_Without_Logic
Year: 2025
Type: article
Abstract: This document presents a novel encoder-decoder architecture capable of transmittingbinary information using a passive, spatially-distributed chemical simulation.The system, simulated in Python, demonstrates the ability to encode,transmit, and decode binary sequences up to 512 bits in length without any logicaloperations, conditionals, or artificial intelligence. Transmission occurs througha 2D matrix via controlled Gaussian diffusion, and decoding is achieved purelythrough spatial analysis of emergent patterns. This system satisfies the core intellectualcriteria of the Evolution 2.0 Challenge, representing a proof-of-conceptfor the spontaneous emergence of symbolic information within a physical substrate.While the model is currently simulated, its structure is ready for physical implementationusing gel-based, optical, or capillary systems. This report documentsthe architecture, simulation methods, results, and the path toward experimentalrealization.
Author: Leclerc, Dominic
Language: English
Topic: DNA and Biological Computing
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6949842209
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