Agent 2 — Memetics Scientist·civos-idea-evolution.psyverse.fun

Idea Evolution

Memetics as evolutionary substrate. Ideas are organisms; minds are habitats; narratives are species.

Idea Evolution treats culture as a population biology of memes. Each meme is a replicating pattern: a metaphor, a story arc, a slogan, a doctrine. Memes compete for cognitive surface area in human minds. They mutate (variations during retelling), recombine (mashups), and undergo selection (some retell, some don't). Narrative warfare is the deliberate cultivation of memes weaponized against rivals — propaganda, slogans, frames. The system models all of this as a directed graph in which nodes are memes and edges are causal lineage and substitution relations. The honest position: memetic models are descriptive, not prescriptive — they help diagnose how an idea is spreading, not whether it is true.

Modules

5 modules compose this system.

01 · meme-graph

Meme Graph

Directed graph of memes, lineage, substitutions, hybridizations.

02 · fitness-index

Fitness Index

Composite of replicate-rate, retention, host-impact, infectivity.

03 · narrative-war

Narrative Warfare Sim

Models propaganda, frame contests, counter-narrative deployment.

04 · channel-model

Channel Model

Carrier media (oral, print, broadcast, network) and how they shape which memes thrive.

05 · extinction

Extinction Predictor

Estimates which meme lineages are losing host-share fast enough to disappear.

Data model

Meme

field
type
note
id
uuid
Meme id
form
string
Lexical form, slogan, image hash
parents
uuid[]
Lineage — multiple ancestors allowed
fitness
float
Fitness index 0..1
channels
Channel[]
Where it currently spreads
host_share
float
Approximate fraction of population carrying it
Outbound APIs

What this system asks of its neighbors.

civilization-os
Civilization OS

Push ideology drift events upward to civ ledger.

POST /events/idea-drift
decision-os
Decision OS

Provide narrative priors to a decision agent.

GET /priors?agent_id=…
sensory-os
Sensory OS

Receive perception-to-meme attribution data.

POST /attributions
cycle-engine
Cycle Engine

Subscribe to phase events that bias meme fitness.

WS /cycles/phase
Equations & principles

What this system believes — and why.

F(meme) = r·R·H − d

Fitness ≈ retell-rate × retention × host-impact − decay.

p(t+1) = p(t) + p(t)·(F − ⟨F⟩)·Δt

Replicator dynamics: meme share grows in proportion to fitness above mean.

Mutation_rate ∝ 1 / Channel.fidelity

Higher-fidelity channels (text > rumour) preserve form better.

Example UI screens

If it had a UI, it would look like this.

  1. 01Meme genealogy graph (force-directed)
  2. 02Fitness leaderboard by channel
  3. 03Narrative-warfare timeline overlay
  4. 04Extinction radar