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THE CONSCIOUSNESS ATLAS
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ConsciousnessLearn · Explore · Joseph Anady

g16_core · f10: Swarm Interaction Force: x_i

This relation defines f10: Swarm Interaction Force: x_i in the source section “g16_core · f10: Swarm Interaction Force: x_i”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables…

Implementation mathematicsSource recovered; runtime not executed
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gh-eq-a4ca4a309ea0b3ffsource-comment-equation
f10:SwarmInteractionForce:xi=Σf(xj−xi)f10: Swarm Interaction Force: x_i = Σ f(x_j - x_i)

Read the equation

This relation defines f10: Swarm Interaction Force: x_i in the source section “g16_core · f10: Swarm Interaction Force: x_i”. It specifies the displayed relationship between the named quantities or parameters. Its interpretation depends on the source’s stated variables and conditions; this record does not assign an unprovided physical or cognitive meaning to them.

Terms & definitions

The recovered passage does not supply a separate symbol table. Read the source context for the notation used in this version; familiar letters may carry different meanings in other builds.

How it works

  1. Read f10: Swarm Interaction Force: x_i as the quantity being defined or updated by this relation.

  2. Substitute the source-defined variables or recorded values and follow the displayed arithmetic and indexing exactly.

  3. Use this version’s variable definitions and update order. The same symbol may be assigned a different meaning in another build.

Assumptions & limits

  • This source expression was recovered from the pinned code revision. Its presence does not establish that the associated program was built, run, or scientifically validated.

Original context

Read the surrounding source passage
  f.push_back({"RateDistortion(min I-βI)-f8", [](double x, const Inputs& in){
    return x - 0.05 * in.ed_error + 0.05 * in.utility;
  }});
  // f9: Consensus / Averaging: x_i(t+1)=x_i(t)+Σ(x_j-x_i)
  f.push_back({"ConsensusAveraging(Σ(xj-xi))-f9", [](double x, const Inputs& in){
    return 0.95 * x + 0.05 * in.dx_norm;
  }});
  // f10: Swarm Interaction Force: x_i = Σ f(x_j - x_i)
  f.push_back({"SwarmInteractionForce(Σf)-f10", [](double x, const Inputs& in){
    return x + 0.05 * softsign(in.dx_norm - x);
  }});
  // f11: Field-Based Accumulator: φ_t = (1-ρ)φ_t + Δφ
  f.push_back({"FieldAccumulator(φ_t=(1-ρ)φ_t+Δφ)-f11", [](double x, const Inputs& in){
    double rho = 1.0 / (1.0 + phi());
    return (1.0 - rho) * x + rho * in.dx_norm;
  }});
  // f12: Variational / Free Energy: F = E[ln q(z)-ln p(x,z)]
  f.push_back({"VariationalFreeEnergy(F)-f12", [](double x, const Inputs& in){
Exact original notation
f10: Swarm Interaction Force: x_i = Σ f(x_j - x_i)

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