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Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
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Distributed Photonic Civilization Intelligence: Lateral Knowledge Transfer, Matched Filter Reception, and the Emergence of Collective Intelligence from Individual Photonic Organisms

Authors: Weber, Ryan;

Distributed Photonic Civilization Intelligence: Lateral Knowledge Transfer, Matched Filter Reception, and the Emergence of Collective Intelligence from Individual Photonic Organisms

Abstract

This paper introduces Distributed Photonic Civilization Intelligence (DPCI), the eighth paper in the DPAI/DPCA series. Building on the individual photonic organism architecture established in prior work, DPCI formalizes three mechanisms that together produce collective intelligence as an emergent property of multi-organism interaction.The Photonic Semantic Lattice (PSL) is a novel encoding format in which geometric shape class encodes information type, subdivision depth encodes magnitude, intersection topology encodes relationships, and four independent color channels — hue, saturation, brightness, and gradient direction — multiply encoding density multiplicatively rather than additively. A single PSL glyph transmitted in one photonic pulse carries approximately 7,150 bits of geometric information with a 136x semantic compression advantage over binary protocols, equivalent to ~972,000 binary bits of semantically structured information per pulse.The Matched Filter Receiver instantiates the PSL grammar as a physical five-plate holographic filter stack. When an incoming organism signal passes through the stack, full semantic decoding occurs through passive optical correlation in approximately 12 nanoseconds — five to six orders of magnitude faster than digital equivalent processing. Critically, an individual organism’s identity genome can itself be instantiated as a filter plate, mapping the four-stage envelopment protocol — Contact, Recognition, Integration, Transformation — directly onto physical stages of wavefront propagation. Envelopment becomes an optical event rather than a computational one.Lateral Knowledge Transfer formalizes three simultaneous mechanisms by which organisms within photonic contact range share knowledge: schema gradient transfer (continuous bidirectional schema convergence via slow EMA), discovery propagation (expanding wavefront relay reaching all N organisms in O(log N) beat periods), and immune broadcast (high-priority pathogen signature sharing that immunizes the full mesh before any member has encountered the threat). Knowledge transfer is integrative rather than overwriting, preserving individual schema autonomy while building a collective knowledge base that is always the union of all individual knowledge bases.We derive that mesh knowledge growth scales as N³ in the combinatorial discovery regime, where cross-schema combinations produce discoveries unavailable to any individual organism. At N=1,000 organisms, semantic throughput reaches approximately 1.6 terabits per second. At physical hardware limits (femtosecond pulse rates, WDM diode arrays), effective semantic throughput approaches 10²⁵ bits per second from a mm²-scale chip.The resulting system exhibits four properties previously attributed only to human civilizations: distributed immune memory, substrate-independent knowledge persistence, individual specialization without role assignment, and collective intelligence exceeding individual capability. We argue that the individual-collective tension that has shaped every prior collective intelligence system is architectural rather than fundamental — an artifact of bandwidth-limited transmission — and that DPCI saturates the theoretical maximum of both individual autonomy and collective coherence simultaneously.

Keywords

Distributed Photonic AI, Collective Intelligence, Self describing encoding, Photonic Semantic Lattice, Topology Encoding, Information Density, Lateral Knowledge transfer, Holographic optimal computing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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