THE ORGANIC CONTINUUM _

Influence + Wavefront Migration — Christian Schladetsch

I. Influence Weight Model
W_influence  =  W_source  ×  1/(1 + dist²)  ×  e−λt

DRAG NODE A AND NODE B TO REPOSITION — DISTANCES UPDATE IN REAL TIME

SOURCE 1.00 NODE A 1.00 NODE B 1.00 DEST 1.00 t = 0.0
Reputation (W_source)
1.00
Via Node A
1.00
Via Node B
1.00
W_influence (max)
1.000
W_source  (reputation) 1.00
t  (time elapsed) 0.0
λ  (decay rate) 0.10
II. Core Principles

Propagation-capped state. Information travels at a bounded sub-sonic velocity. Nodes see influence approaching before it arrives -- jagged state transitions become smooth curves.

Saliency-driven sampling. Autonomous agents sample at rates proportional to observed activity. Unobserved regions drop to near-zero frequency. Computation follows attention.

Reputation-weighted consensus. No central authority. Misbehaving nodes decay in influence until the system stops listening. No crash, no banishment.

Live continuation migration. Running execution state flows between machines as a wavefront, pre-warming destination nodes. No stop-the-world. No hard cutover.

Propagation-speed GC. The marking front moves at the same velocity as mutations. The janitor and the resident move at the same speed.

III. Reference Implementation

KAI — a distributed object model in C++ with reflection, persistence, cross-process communication, and an incremental tri-color garbage collector. Core behaviour has been stable for over 16 years.

DISTRIBUTED SYSTEMS C++ GAME SERVERS SYSTEMS DESIGN ARCHITECTURE