{
  "model": "Indivisible Time",
  "version": "1.1",
  "author": "Yuriy Olegovich Gorlov",
  "evolution": {
    "from": "123|456|789 -> 666",
    "to": "1 -> 2 -> 3 -> 0",
    "analysis": "https://vnzt.ru/analysis/"
  },
  "core_cycle": {
    "1": "Initiation",
    "2": "Process",
    "3": "Return",
    "0": "Assimilation"
  },
  "ipra": "Initiation -> Process -> Return -> Assimilation",
  "zero": "Assimilation and state stabilization mechanism",
  "dynamic_system": {
    "variables": {
      "E(t)": "accumulated experience",
      "R(t)": "available resource",
      "I(t)": "interaction intensity"
    },
    "process_phase": [
      "dE/dt = alpha * I(t)",
      "dR/dt = -beta * I(t)"
    ],
    "assimilation_phase": [
      "dR/dt = +gamma"
    ]
  },
  "hypotheses": [
    "H1: cycles with assimilation produce more durable learning than uninterrupted activity",
    "H2: completed cycles reduce cognitive load more than interrupted cycles",
    "H3: AI agents with reflection and memory consolidation are more stable than agents without them"
  ],
  "status": "research framework"
}