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lm-003133 · 2026-08

三生世界域計算:從認知未來到可運行世界再回到歷史

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三生世界域計算:從認知未來到可運行世界再回到歷史

Tri-Temporal World-Domain Computation: From Cognitive Futures to Runnable Worlds and Back into History

Branching World Computation / World-Domain Cognitive Runtime
分支世界計算/世界域認知 Runtime 系列
WDC-08 / BWC-08 — Unified Synthesis I

作者:Neo.K(許筌崴)
協作形式化:Aletheia
機構:一言諾科技有限公司(EveMissLab)
日期:2026-08-17
版本:v0.1
狀態:TCD–WDC unified runtime synthesis / executable prospective cognition


Canonical Non-Identity Statement

TCD v0.1 Core 已建立:

Tt(3)=(Bt,Bt0,Bt+)\boxed{ \mathfrak T_t^{(3)} = ( \mathcal B_t^-, \mathcal B_t^0, \mathcal B_t^+ ) }

以及:

St:Tt(3)Tt+1(3).\boxed{ \mathscr S_t: \mathfrak T_t^{(3)} \rightarrow \mathfrak T_{t+1}^{(3)}. }

WDC-01 至 WDC-07 則建立:

Future CandidateRunnable WorldsCross-World EvidenceLearning.\boxed{ \text{Future Candidate} \rightarrow \text{Runnable Worlds} \rightarrow \text{Cross-World Evidence} \rightarrow \text{Learning}. }

本文第一次統一:

Tt(3)WtEtWTt+1(3).\boxed{ \mathfrak T_t^{(3)} \rightarrow \mathcal W_t \rightarrow \mathfrak E_t^W \rightarrow \mathfrak T_{t+1}^{(3)}. }

但永久保留:

Simulated World EventParent-World Historical Event.\boxed{ \text{Simulated World Event} \neq \text{Parent-World Historical Event}. }

以及:

Computed FutureActual Future.\boxed{ \text{Computed Future} \neq \text{Actual Future}. }

以及:

World EvidenceReality Evidence\boxed{ \text{World Evidence} \neq \text{Reality Evidence} }

除非存在明示、可辯護且可審計的 evidence-transport contract。

本文不主張:

  • WDC worlds 是物理平行宇宙;
  • TCD Future Base Space 是客觀全部未來;
  • world simulation 可以物理改寫過去;
  • simulation outcome 應直接寫成 real historical fact;
  • world ensemble agreement 等於 real-world truth;
  • WDC runtime 可以在無 external evidence 下封閉地學會現實;
  • 所有 agent 都需要 runnable-world cognition;
  • 更多 world computation 必然提高 intelligence;
  • full WDC runtime 一定優於簡單 planner;
  • TCD、WDC、UCPNP 是已被實證證明的普遍認知定律;
  • 本文已完成實際 production implementation;
  • 本文對 classical PP vs. NPNP 提供任何新證明。

摘要

Tri-Temporal Cognitive Dynamics(TCD)將 agent 的時間認知拆成:

Bt:Past Choice Base Space,\boxed{ \mathcal B_t^-: \text{Past Choice Base Space}, } Bt0:Present Actionable / Reachable Base Space,\boxed{ \mathcal B_t^0: \text{Present Actionable / Reachable Base Space}, } Bt+:Generated Future Base Space.\boxed{ \mathcal B_t^+: \text{Generated Future Base Space}. }

並建立六向 typed couplings:

PN:Historical Conditioning,NF:Future Generation,FN:Prospective Attraction,NP:Historical Sedimentation,PF:Historical Projection,FP:Retrospective Relevance.\boxed{ \begin{array}{lll} P\to N &: & Historical\ Conditioning,\\ N\to F &: & Future\ Generation,\\ F\to N &: & Prospective\ Attraction,\\ N\to P &: & Historical\ Sedimentation,\\ P\to F &: & Historical\ Projection,\\ F\to P &: & Retrospective\ Relevance. \end{array} }

然而 TCD 的:

Bt+\mathcal B_t^+

主要仍是一個 prospective cognitive domain。

WDC 的核心突破,是允許其中某些 future candidates:

fiΩtFf_i \in \Omega_t^F

被實例化成:

fiIWWi,\boxed{ f_i \xrightarrow{\mathsf I_W} W_i, }

即具有:

  • identity;
  • state;
  • dynamics;
  • actors;
  • rules;
  • local history;
  • interventions;
  • observation;
  • evaluation;
  • resource budget;
  • provenance;

的 bounded runnable worlds。

WDC-02 至 WDC-07 再分別建立:

  • branching lineage;
  • World-Domain Governor;
  • nested agents / observer separation;
  • cross-world evidence;
  • world computation portfolio;
  • world ensemble learning。

本文的問題因此是:

這整套 world-domain computation,究竟如何成為 TCD temporal shift 的一部分,而不是掛在 Future Base Space 外面的一個獨立 simulator?

本文提出一個雙層時間架構:

Inner Computational Prospection\boxed{ \text{Inner Computational Prospection} }

與:

Outer Historical Transition.\boxed{ \text{Outer Historical Transition}. }

在 parent historical time:

tt

不變時,agent 可以反覆:

Bt+,(k)Wt(k)EtW,(k)Bt+,(k+1)\boxed{ \mathcal B_t^{+,(k)} \rightarrow \mathcal W_t^{(k)} \rightarrow \mathfrak E_t^{W,(k)} \rightarrow \mathcal B_t^{+,(k+1)} }

並同時更新:

  • retrospective relevance;
  • current valuation;
  • current policy;
  • world portfolio。

這是:

World-Domain Deliberation Loop

其中:

kk

只是 parent agent 在同一 historical decision moment 裡的 bounded deliberation index。

每個 runnable world:

WiW_i

又擁有自己的 local runtime time:

τi.\tau_i.

所以本文正式區分:

t=parent historical time,\boxed{ t = \text{parent historical time}, } k=parent deliberation iteration,\boxed{ k = \text{parent deliberation iteration}, } τi=world-local runtime time.\boxed{ \tau_i = \text{world-local runtime time}. }

三者不可混淆。

世界可以在:

tt

不變時跑:

τi=0,,106.\tau_i=0,\ldots,10^6.

這不代表 parent reality 經歷了 10610^6 個歷史步。

真正:

tt+1t \rightarrow t+1

只在 parent agent:

  1. commit 真正 action;
  2. environment / external system transition;
  3. observation / consequence 到來;
  4. Historical Sedimentation;

後發生。

本文因此定義完整 Tri-Temporal World-Domain Runtime State

RtTW=(Tt(3),Wt,Gt,EtW,LtW,Ξt,Bt,κt).\boxed{ \mathfrak R_t^{TW} = ( \mathfrak T_t^{(3)}, \mathfrak W_t, \mathfrak G_t, \mathfrak E_t^W, \mathfrak L_t^W, \Xi_t, \mathbf B_t, \kappa_t ). }

其中:

  • Tt(3)\mathfrak T_t^{(3)}:TCD triple;
  • Wt\mathfrak W_t:active / queued / archived world-domain state;
  • Gt\mathfrak G_t:World-Domain Governor state;
  • EtW\mathfrak E_t^W:cross-world evidence state;
  • LtW\mathfrak L_t^W:world ensemble learning state;
  • Ξt\Xi_t:external observations / exogenous inputs;
  • Bt\mathbf B_t:global resource ledger;
  • κt\kappa_t:mission / safety / evidence / authority contracts。

本文定義 parent-level runtime update:

RtTW:RtTWRt+1TW.\boxed{ \mathscr R_t^{TW}: \mathfrak R_t^{TW} \rightarrow \mathfrak R_{t+1}^{TW}. }

但這不是單一 homogeneous function,而是一個 staged, typed, bounded operator composition。

本文提出第一版 canonical staged loop:

B~t0=Φ0(Bt,Ξt),Bt+,(0)=ΓF(Bt,B~t0,Ξt),CtW,(k)=ΠC(Bt+,(k),EtW,(k),Gt(k)),Wt(k)=InstantiateRun(CtW,(k)),EtW,(k+1)=CrossWorldEvidence(Wt(k)),(Bt+,(k+1),wt,(k+1),πt(k+1))=AssimilateWT(EtW,(k+1),Tt(3),(k)),atπt(K),Zt+1real=TR(Ztreal,at,εt),Bt+1=Sediment(Bt,at,Zt+1real,PtWDC),Bt+10=Φ0(Bt+1,Ξt+1),Bt+1+=ΓF(Bt+1,Bt+10,Ξt+1).\boxed{ \begin{aligned} \widetilde{\mathcal B}_t^0 &= \Phi_{-0} ( \mathcal B_t^-, \Xi_t ), \\ \mathcal B_t^{+,(0)} &= \Gamma_F ( \mathcal B_t^-, \widetilde{\mathcal B}_t^0, \Xi_t ), \\ \mathcal C_t^{W,(k)} &= \Pi_C ( \mathcal B_t^{+,(k)}, \mathfrak E_t^{W,(k)}, \mathfrak G_t^{(k)} ), \\ \mathcal W_t^{(k)} &= \mathsf{InstantiateRun} ( \mathcal C_t^{W,(k)} ), \\ \mathfrak E_t^{W,(k+1)} &= \mathsf{CrossWorldEvidence} ( \mathcal W_t^{(k)} ), \\ ( \mathcal B_t^{+,(k+1)}, \mathbf w_t^{-,(k+1)}, \pi_t^{(k+1)} ) &= \mathsf{Assimilate}_{W\to T} ( \mathfrak E_t^{W,(k+1)}, \mathfrak T_t^{(3),(k)} ), \\ a_t &\sim \pi_t^{(K)}, \\ Z_{t+1}^{real} &= T_R( Z_t^{real}, a_t, \varepsilon_t ), \\ \mathcal B_{t+1}^- &= \mathsf{Sediment} ( \mathcal B_t^-, a_t, Z_{t+1}^{real}, \mathcal P_t^{WDC} ), \\ \mathcal B_{t+1}^0 &= \Phi_{-0} ( \mathcal B_{t+1}^-, \Xi_{t+1} ), \\ \mathcal B_{t+1}^+ &= \Gamma_F ( \mathcal B_{t+1}^-, \mathcal B_{t+1}^0, \Xi_{t+1} ). \end{aligned} }

其中:

PtWDC\mathcal P_t^{WDC}

是 parent-level WDC provenance packet,記錄:

  • 哪些 worlds 被計算;
  • 哪些 worlds 影響 action;
  • 哪些 counterexamples 被發現;
  • 哪些 evidence transports 被使用;
  • 哪些 worlds 被 ignored / killed;
  • 最終 decision 如何受 world evidence 影響。

本文特別建立一個關鍵的 History Firewall

對 world-local simulated event:

ei,τsimHiW.e_{i,\tau}^{sim} \in \mathcal H_i^{W}.

它不能直接被寫成:

ei,τsimBt+1,real.e_{i,\tau}^{sim} \in \mathcal B_{t+1}^{-,real}.

但 parent runtime 中真正發生了另一件事:

world WiW_i 在 contract κi\kappa_i 下產生 outcome YiY_i

因此:

Record(Wi,κi,Yi)\boxed{ Record( W_i,\kappa_i,Y_i ) }

本身可以成為 parent historical event。

所以:

Simulated EventActual Parent Event,\boxed{ \text{Simulated Event} \neq \text{Actual Parent Event}, }

但:

the fact that the simulation produced that event/result\boxed{ \text{the fact that the simulation produced that event/result} }

可以是 actual parent provenance。

這一區分避免:

Simulation-to-History Laundering

即把:

在 simulation 裡發生了 X

偷偷改寫成:

現實中 X 已經發生過/被證實。

本文再定義 World-to-TCD Assimilation Operator

AWT:(EtW,Tt(3))(Δwt,ΔBt0,ΔBt+).\boxed{ \mathsf A_{W\to T} : ( \mathfrak E_t^W, \mathfrak T_t^{(3)} ) \rightarrow ( \Delta\mathbf w_t^-, \Delta\mathcal B_t^0, \Delta\mathcal B_t^+ ). }

它可以:

  1. 改變 past relevance weights;
  2. 改變 current action valuation;
  3. 改變 generated future candidates / probabilities / paths。

但除非有 parent-real event:

AWT\boxed{ \mathsf A_{W\to T} }

不能改寫 Historical Provenance Layer:

Htprov.\mathcal H_t^{prov}.

因此:

World EvidencePast Relevance\boxed{ \text{World Evidence} \rightarrow \text{Past Relevance} }

可以,

但:

World Evidence↛Past Fact Rewrite.\boxed{ \text{World Evidence} \not\rightarrow \text{Past Fact Rewrite}. }

本文進一步把 WDC 對 TCD 的作用拆成三個 feedback channels:

W→F — Future Revision

EtWBt+.\boxed{ \mathfrak E_t^W \rightarrow \mathcal B_t^+. }

worlds 可能:

  • 支持 candidate;
  • 刪除 candidate;
  • split candidate;
  • create new candidate;
  • raise unknown mass;
  • revise realization path。

W→N — Present Decision Reweighting

EtWQt(a)πt.\boxed{ \mathfrak E_t^W \rightarrow Q_t(a) \rightarrow \pi_t. }

W→P — Retrospective Relevance

EtWwt.\boxed{ \mathfrak E_t^W \rightarrow \mathbf w_t^-. }

例如 simulation 發現某 failure mechanism,

使十年前某 historical event:

hh

突然:

wt(h).w_t^-(h)\uparrow.

但這仍然只是 relevance reweighting。

本文因此提出:

World-Domain Augmented Prospective Attraction

TCD-04 原本:

Rt+Vtπt.\boxed{ R_t^+ \rightarrow V_t \rightarrow \pi_t. }

WDC 加入:

EtW\boxed{ \mathfrak E_t^W }

作為更深的 prospective evidence layer:

Rt+WtEtWVtπt.\boxed{ R_t^+ \rightarrow \mathcal W_t \rightarrow \mathfrak E_t^W \rightarrow V_t \rightarrow \pi_t. }

這不是 future event 物理回到現在。

世界計算:

Wt\mathcal W_t

本身發生在 parent time tt 的 computation system 中。

因此因果鏈仍完全正向:

ComputationtValuationtActiont.\boxed{ Computation_t \rightarrow Valuation_t \rightarrow Action_t. }

本文也正式定義 World Computation as Present Action

雖然:

WiW_i

模擬的是 future,

但是:

Compute(Wi)\boxed{ Compute(W_i) }

是 parent agent 在現在真正執行的 computational action。

所以:

future-directed content+present computational execution.\boxed{ \text{future-directed content} + \text{present computational execution}. }

這延續 TCD-04 的:

represented future is semantically future-directed but causally present。

WDC 將它升級為:

runnable future world is semantically prospective but computationally present。

本文將其形式化為:

τcontent(Wi)>t,τcompute(Wi)=t.\boxed{ \tau_{content}(W_i)>t, \qquad \tau_{compute}(W_i)=t. }

不要求 world local time 與 real calendar time一一對應。

本文再建立 World Portfolio as Present Actionable Domain Extension

在 TCD-02:

Bt0\mathcal B_t^0

包含 present effective actions。

現在某些 effective actions 是:

atcogAtcompute,\boxed{ a_t^{cog} \in \mathcal A_t^{compute}, }

例如:

  • spawn world;
  • fork branch;
  • request cross-backend;
  • run calibration;
  • stop a world;
  • request external test。

因此:

Ateff=AtexternalAtcognitive\boxed{ \mathcal A_t^{eff} = \mathcal A_t^{external} \cup \mathcal A_t^{cognitive} }

作為一個可選擴充。

這不是說 thinking 與 physical action 永遠等同,而是:

對 agent runtime,有限 compute allocation 本身就是會改變未來 decision state 的 action。

本文再建立 Compute–Act Separation

World Computation ActionExternal Commitment Action.\boxed{ \text{World Computation Action} \neq \text{External Commitment Action}. }

世界裡反覆嘗試:

10610^6

次,

不代表 parent 已經在 reality 執行:

10610^6

次。

因此 WDC 提供:

Reversible Cognitive Branching

在 commit 前:

ForkWorld\boxed{ ForkWorld }

通常是低外部不可逆性。

而 real action:

atreala_t^{real}

可能有:

  • resource consumption;
  • legal commitment;
  • irreversible state change。

這讓 agent 可以用便宜可逆的 world branching,去減少昂貴不可逆 real actions 的 uncertainty。

但:

SimulationReversibilityRealityReversibility.\boxed{ SimulationReversibility \neq RealityReversibility. }

本文再引入 Commit Gate

CommitR:(πt(K),EtW,κR)atreal.\boxed{ \mathsf{Commit}_R: ( \pi_t^{(K)}, \mathfrak E_t^W, \kappa_R ) \rightarrow a_t^{real}. }

Commit Gate 可以要求:

  • minimum evidence;
  • cross-world replication;
  • safety review;
  • transport debt threshold;
  • human / institutional authorization。

因此:

WorldPromotionRealCommit.\boxed{ WorldPromotion \neq RealCommit. }

WDC-03 / 06 的 promotion 只是:

allocate more evidence/computation budget。

真正 reality action 仍是不同 authority domain。

本文進一步建立 Realization Lineage

若 future candidate:

ff

經:

fWfEvidencefatArtifactt+Δf \rightarrow W_f \rightarrow Evidence_f \rightarrow a_t \rightarrow Artifact_{t+\Delta}

最後真的實現,

可保存:

Λfrealize=(f,Wf,Ef,at,Artifact).\boxed{ \Lambda_f^{realize} = ( f, W_f, E_f, a_t, Artifact ). }

這使 UCPNP / PCI 中的:

PredictiveRealizationConstructiveRealization\boxed{ PredictiveRealization \neq ConstructiveRealization }

在 runtime 層得到更完整 lineage。

如果:

WfW_f

只是預測,

後來現實獨立發生:

f,f,

接近 predictive realization。

若:

WorldEvidenceActionf,WorldEvidence \rightarrow Action \rightarrow f,

則具有 constructive contribution。

本文不要求二分。

可以標:

ContributionType{Predictive,Constructive,Preventive,Mixed}.\boxed{ ContributionType \in \{ Predictive, Constructive, Preventive, Mixed \}. }

本文再建立 Preventive World Loop

future candidate:

fbadf_{bad}

被實例化成:

Wbad.W_{bad}.

world evidence 顯示高 risk:

Ebad.E_{bad}.

parent 採取:

atmitigate.a_t^{mitigate}.

最後:

fbadf_{bad}

沒有發生。

完整 lineage:

fbadWbadEbadatmitigate¬fbadreal.\boxed{ f_{bad} \rightarrow W_{bad} \rightarrow E_{bad} \rightarrow a_t^{mitigate} \rightarrow \neg f_{bad}^{real}. }

因此:

forecast non-realizationforecast uselessness.\boxed{ \text{forecast non-realization} \neq \text{forecast uselessness}. }

這直接延續 TCD-04 的 preventive loop。

本文再將 Historical Sedimentation 擴充。

parent historical unit:

st\mathfrak s_t

現在可包含:

stTW=(stbase,PtWDC).\boxed{ \mathfrak s_t^{TW} = ( \mathfrak s_t^{base}, \mathcal P_t^{WDC} ). }

其中:

PtWDC\mathcal P_t^{WDC}

至少包含:

world_candidates_considered
worlds_spawned
worlds_forked
worlds_killed
world_evidence_used
counterexamples
transport_assumptions
governor_decisions
commit_reason
external_action
real_outcome

這樣未來才能回答:

當年為什麼做這個決策?

以及:

哪些 simulated worlds 真正影響了現實 action?

本文稱:

Computed-Prospection Provenance

如果不保留它,多年後看到:

ArtifactArtifact

只知道:

做成了。

卻不知道:

  • 當年有哪些 worlds;
  • 哪個 world 找到關鍵 failure;
  • 哪個 counterworld 被忽略;
  • 是否因 simulation consensus 而決策。

本文再建立 World Evidence Historical Status

當 world result:

YiY_i

在 time tt 產生時,

parent historical fact 是:

Ht:“World Wi under contract κi produced Yi.\boxed{ H_t: \text{“World }W_i \text{ under contract }\kappa_i \text{ produced }Y_i.”}

不是:

Ht:Yi happened in reality.\boxed{ H_t: Y_i \text{ happened in reality.} }

這條文字差異是整個 TCD–WDC integration 的核心之一。

本文進一步把 WDC learning 接回 TCD。

WDC-07:

WorldEnsembleOutcomes{UΓ,UM,UG,UF}.\boxed{ WorldEnsembleOutcomes \rightarrow \{ U_\Gamma, U_M, U_G, U_F \}. }

TCD 需要的是:

UF:Bt+Bt+,(k+1).\boxed{ U_F: \mathcal B_t^+ \rightarrow \mathcal B_t^{+,(k+1)}. }

如果 update 只發生在 internal deliberation:

tt

不變。

如果 action 已 commit 並 real outcome 到來:

tt+1,t \rightarrow t+1,

形成:

Bt+1+.\mathcal B_{t+1}^+.

本文因此區分:

Intra-Step Future Revision

Bt+,(k)Bt+,(k+1).\boxed{ \mathcal B_t^{+,(k)} \rightarrow \mathcal B_t^{+,(k+1)}. }

與:

Inter-Step Future Regeneration

Bt+Bt+1+.\boxed{ \mathcal B_t^+ \rightarrow \mathcal B_{t+1}^+. }

前者是 deliberation。

後者是新歷史/新現在下的 temporal shift。

兩者不能混淆。

本文再建立 World-Domain Deliberation Budget

KtW<.\boxed{ K_t^W<\infty. }

每一輪:

kk

可執行一個或一批 world computations:

Ct(k).\mathcal C_t^{(k)}.

停止條件可以是:

StopW=BudgetExhaustedDecisionStableEvidenceSufficientDeadlineSafetyStop.\boxed{ Stop_W = BudgetExhausted \lor DecisionStable \lor EvidenceSufficient \lor Deadline \lor SafetyStop. }

其中:

DecisionStableDecisionStable

可寫:

dπ(πt(k+1),πt(k))<ϵπ.\boxed{ d_\pi( \pi_t^{(k+1)}, \pi_t^{(k)} ) < \epsilon_\pi. }

但本文不要求:

world ensemble convergence.\boxed{ \text{world ensemble convergence}. }

worlds 可能持續 disagreement。

在 deadline 到來時,agent 必須:

  • act;
  • defer;
  • request authority;
  • choose safe fallback。

本文再建立 Unknown-Preserving Commit

即使:

UW>0U_W>0

agent 仍可能必須決策。

所以 commit record 應保存:

UW(tcommit).\boxed{ U_W(t_{commit}). }

避免未來事後說:

當時我們已經知道所有可能性。

本文再將 WDC-05 的 cross-world evidence profile:

EW(q)\mathbf E_W(q)

加入 TCD prospective valuation。

對 action:

a,a,

可寫:

QtTW(a)=V(a,Bt+,EtW,DT,UW).\boxed{ Q_t^{TW}(a) = \mathcal V ( a, \mathcal B_t^+, \mathfrak E_t^W, D_T, U_W ). }

其中:

  • DTD_T:transport debt;
  • UWU_W:unknown world-family region。

因此:

100 worlds agree\boxed{ 100\text{ worlds agree} }

不應直接產生極端 action confidence,

如果:

DT0D_T\gg0

或:

NeffN.N_{eff}\ll N.

本文稱:

Evidence-Calibrated Prospective Attraction

即 Future \rightarrow Present 的 pull 必須被:

  • evidence independence;
  • transport;
  • unknown mass;
  • counterexample burden;

調整。

本文再建立 Prospective Attraction Gain Control

如果:

At+(f)\mathcal A_t^+(f)

很大,

但 world evidence 低 quality,

可以:

g+0(f).\boxed{ g_{+0}(f)\downarrow. }

若:

  • cross-backend replication 高;
  • countersearch 完成;
  • transport calibrated;

則:

g+0(f).g_{+0}(f)\uparrow.

這不是 universal scalar law,只是 runtime control interface。

本文也正式建立 World Computation Failure Modes 與 TCD 對照。

Failure I — Phantom World Capture

一個 imagined but unreachable future 被大量 worlds 反覆模擬,

造成:

high computationhigh cognitive salience\boxed{ \text{high computation} \rightarrow \text{high cognitive salience} }

即使 reality relevance 很低。

Failure II — Ensemble Closure

agent 把:

Wt\mathcal W_t

當全部 future。

Failure III — Historical Laundering

把 simulated event 當 real past。

Failure IV — Cross-Branch Leakage

worlds 不獨立卻被當 counterfactual。

Failure V — Governor Mode Collapse

compute 全部投 dominant family。

Failure VI — World Ontology Collapse

generator 越學越窄。

Failure VII — Transport Neglect

world consensus 很高,卻沒有 real calibration。

Failure VIII — Infinite Deliberation

agent 不斷 spawn worlds,不 commit action。

本文將第 VIII 稱為:

World-Domain Analysis Paralysis

如果:

KtWK_t^W\rightarrow\infty

或:

CdelibValue(decision),C_{delib}\gg Value(decision),

則 WDC 本身變成 tractability bottleneck。

所以:

more foresight⇏better action.\boxed{ \text{more foresight} \not\Rightarrow \text{better action}. }

本文與 UCPNP 的接口正在此處出現。

UCPNP 關心:

Ct=(CR,CD,CC,CE,CV,CCert,CO)\boxed{ \mathbf C_t = ( C_R, C_D, C_C, C_E, C_V, C_{Cert}, C_O ) }

以及 agent-relative tractability frontier。

WDC world computation:

  • representation generation;
  • decomposition;
  • construction;
  • evaluation;
  • verification;
  • observation;

全部消耗 cost。

因此可把:

CW\boxed{ C_W }

視為 WDC-specific decomposition:

CW=(Cspawn,Crun,Cbranch,Ceval,Cverify,Ctransport,Carchive).\boxed{ C_W = ( C_{spawn}, C_{run}, C_{branch}, C_{eval}, C_{verify}, C_{transport}, C_{archive} ). }

再映射回 UCPNP cost ledger。

因此:

WDC\boxed{ \text{WDC} }

可以被視為:

一種 prospective tractability intervention layer。

它不保證:

ρC.\rho_C\downarrow.

有些問題 world explosion 反而讓:

CC,CE,CVC_C,C_E,C_V

上升。

所以:

WDCautomatic tractability improvement.\boxed{ WDC \neq \text{automatic tractability improvement}. }

WDC-06 Governor / VOC 的角色,就是避免:

為了想得更完整,把問題算爆。

本文再建立 World-Domain Tractability Test

比較:

Policybase\boxed{ Policy_{base} }

與:

PolicyWDC.\boxed{ Policy_{WDC}. }

測:

ΔU\Delta U

與:

ΔC.\Delta C.

如果:

ΔU0\boxed{ \Delta U \le0 }

且:

ΔC>0,\boxed{ \Delta C>0, }

那 WDC 在該 task 沒有增量。

這是重要可否證條件。

外部工程與研究提供多個局部機制對照,但沒有任何單一系統等同本文完整 TCD–WDC runtime。

DreamerV3 的 world model 預測 potential actions 的 outcomes、critic 評估 imagined outcomes、actor 選 action,並從 replayed interaction experience 並行更新 world model、critic 與 actor。這是一個:

imaginationactionexperiencelearning\boxed{ \text{imagination} \rightarrow \text{action} \rightarrow \text{experience} \rightarrow \text{learning} }

的清楚 engineering micro-loop。

MuZero 將 learned model 與 tree search 結合,使用 planning-relevant predictions 支援 current action selection,提供:

learned future modelplanningaction\boxed{ \text{learned future model} \rightarrow \text{planning} \rightarrow \text{action} }

的另一個 micro-loop。

Dyna-style planning 則長期研究:

real experience+imagined model experiencelearning / planning.\boxed{ \text{real experience} + \text{imagined model experience} \rightarrow \text{learning / planning}. }

Sutton 等人的 Dyna-style work 明確使用 world model 生成 imaginary experience,再用這些 imagined transitions 更新 value / policy。

2025 年 Dyna-Think 又把:

  • reasoning;
  • acting;
  • internal world-model simulation;

放進長時程 AI agent framework,並以 world-model objectives 加強 policy。

Genie 3 則顯示 future/world representation 可以進一步成為:

interactive generated environments\boxed{ \text{interactive generated environments} }

使 agent 能在 generated world 中執行較長 action sequence並觀察 action-conditioned evolution。

這些工作支持:

modelled futures can mediate planning, acting, and learning.\boxed{ \text{modelled futures can mediate planning, acting, and learning}. }

但不證明:

  • TCD 六向 coupling;
  • WDC branching governance;
  • cross-world evidence;
  • world portfolio;
  • world-history firewall;

已由外部系統完整實作。

本文最後定義:

Tri-Temporal World-Domain Computation Principle

A prospective agent may use its past and present to generate candidate futures, instantiate selected candidates as bounded runnable worlds, use cross-world evidence to revise present decisions and future representations, then commit a real action whose actual consequences are sedimented into the next historical state.

中文:

一個前瞻智能體可以利用過去與現在生成未來候選,把其中部分候選實例化成有限可運行世界,再用跨世界證據修正現在的決策與未來表示,最後提交真實行動;只有真實行動與其真實後果,才共同沉積成下一輪歷史。


1. TCD 是時間骨架,WDC 是可執行前瞻層

TCD 定義:

PastPresentFuture.\boxed{ Past \leftrightarrows Present \leftrightarrows Future. }

WDC 定義:

FutureCandidateRunnableWorld.\boxed{ FutureCandidate \rightarrow RunnableWorld. }

2. 它們不是競爭理論

TCDWDC.\boxed{ TCD \neq WDC. }

3. TCD 問

temporal cognition 怎麼更新?


4. WDC 問

哪些 prospective structures 值得被實際計算?


5. Unified Interface

Bt+LiftWt.\boxed{ \mathcal B_t^+ \xrightarrow{ Lift } \mathcal W_t. }

6. World Lift Operator

定義:

LiftFW:(Bt+,Bt0,Gt)CtW.\boxed{ \mathsf{Lift}_{F\to W} : ( \mathcal B_t^+, \mathcal B_t^0, \mathfrak G_t ) \rightarrow \mathcal C_t^W. }

7. CtW\mathcal C_t^W

是 admitted world-computation candidates。


8. Not All Futures Lift

ΩtFWt.\boxed{ \Omega_t^F \not= \mathcal W_t. }

9. Some Futures Cannot Be Simulated

because:

  • missing model;
  • insufficient compute;
  • unknown ontology;
  • safety;
  • no executable semantics。

10. Unliftable Future

定義:

Utlift={f:fΩtF,  Lift(f)=}.\boxed{ U_t^{lift} = \{ f: f\in\Omega_t^F, \; \mathsf{Lift}(f)=\bot \}. }

11. This Must Not Be Treated as Impossible Future

UnsimulatableImpossible.\boxed{ Unsimulatable \neq Impossible. }

12. Important WDC Bias

世界 runtime 更容易關注:

可計算的未來。


13. Computational Visibility Bias

定義:

Bcomp=bias toward futures with executable models.\boxed{ B_{comp} = \text{bias toward futures with executable models}. }

14. This Can Hide Hard-to-Simulate Futures

例如:

  • social regime shift;
  • unknown science;
  • black-swan mechanism。

15. Therefore Preserve

UW.U_W.

16. Lifted Worlds

Wt={W1,,Wn}.\boxed{ \mathcal W_t = \{ W_1,\ldots,W_n \}. }

17. World Local Time

τi.\tau_i.

18. Parent Historical Time

t.t.

19. Parent Deliberation

k.k.

20. Three Clocks

(t,k,τi).\boxed{ (t,k,\tau_i). }

21. Never Flatten Them


22. World Can Run Faster Than Parent

ri=ΔτiΔt.r_i = \frac{\Delta\tau_i}{\Delta t}.

23. Or Slower


24. Local History

HiW.\mathcal H_i^W.

25. Parent History

Htparent.\mathcal H_t^{parent}.

26. Separate Namespaces

HiWHtparent.\boxed{ \mathcal H_i^W \neq \mathcal H_t^{parent}. }

27. World Event

eW.e^W.

28. Parent Record

Record(eW).Record(e^W).

29. Parent Historical Fact

the simulation produced eWe^W


30. Not

eWe^W occurred in reality。


31. History Firewall Principle

World History Firewall\boxed{ \textbf{World History Firewall} }

32. Simulated Event Cannot Cross As Real Fact


33. Crosses As Evidence Packet

eWeW.\boxed{ e^W \rightarrow \mathfrak e^W. }

34. Evidence Packet Carries

  • world ID;
  • contract;
  • validity;
  • transport;
  • uncertainty。

35. Assimilation

AWT.\mathsf A_{W\to T}.

36. Update Future

ΔB+.\Delta B^+.

37. Update Present Policy

Δπ.\Delta\pi.

38. Update Past Relevance

Δw.\Delta w^-.

39. Do Not Update Past Facts


40. Inner Loop

At fixed tt

B+,(k)W(k)E(k)B+,(k+1).\boxed{ B^{+,(k)} \rightarrow W^{(k)} \rightarrow E^{(k)} \rightarrow B^{+,(k+1)}. }

41. Inner Loop Can Also Change Policy

π(k)π(k+1).\boxed{ \pi^{(k)} \rightarrow \pi^{(k+1)}. }

42. Stop if Policy Stable


43. Or Budget Exhausted


44. Or Deadline


45. No Infinite Thinking


46. World-Domain Analysis Paralysis

agent keeps:

SpawnForkRunSpawn\rightarrow Fork\rightarrow Run

without action。


47. This Is Real Failure Mode


48. Deliberation Budget

KtW.K_t^W.

49. Compute Budget

BtW.B_t^W.

50. Verification Budget

BtV.B_t^V.

51. Commit Gate

CommitR.\mathsf{Commit}_R.

52. External Action Requires Authority


53. World Result Alone Cannot Act

unless policy permits。


54. Simulation Agent vs Parent Agent

WDC-04 separation remains。


55. Local Agent Action

ai,τlocal.a_{i,\tau}^{local}.

56. Parent Action

atreal.a_t^{real}.

57. They Are Different Namespaces


58. No Tool Namespace Collision

world:

send_email(NPC)

must not silently call real Gmail。


59. External Tool Proxy

still required。


60. World Evidence to Policy

QtTW(a).Q_t^{TW}(a).

61. Evidence-Calibrated Prospection

use:

  • NeffN_{eff}
  • counterexamples;
  • transport debt;
  • unknown mass。

62. Confidence Ceiling

可以定義:

Confactiong(Ecross,Etrans,UW).\boxed{ Conf_{action} \le g( E_{cross}, E_{trans}, U_W ). }

conceptual only。


63. High Agreement + High Dependence

should not create high confidence。


64. High Agreement + Low Transport

also not。


65. High Cross-World Robustness + Strong Transport

stronger。


66. Parent Real Action

at.a_t.

67. Real Transition

Zt+1=TR(Zt,at,εt).Z_{t+1}=T_R(Z_t,a_t,\varepsilon_t).

68. Observation

Ξt+1.\Xi_{t+1}.

69. Compare with World Predictions

δireal=d(Yipred,Yreal).\delta_i^{real} = d( Y_i^{pred}, Y^{real} ).

70. This Is External Calibration Event


71. Feed to WDC-07

world model / generator / Governor learn。


72. Feed to TCD-05

real action & result sediment。


73. Full Outer Loop

PasttPresenttFuturetWorldstActiontPastt+1.\boxed{ Past_t \rightarrow Present_t \rightarrow Future_t \rightarrow Worlds_t \rightarrow Action_t \rightarrow Past_{t+1}. }

74. But Worlds Influence Before Action

More accurately:

PtNtFtWtNtatPt+1.\boxed{ P_t \rightarrow N_t \rightarrow F_t \rightarrow W_t \rightarrow N_t' \rightarrow a_t \rightarrow P_{t+1}. }

75. World Evidence May Also Reweight Past

WtPtview.W_t \rightarrow P_t^{view}.

76. So Unified Graph Has Extra W Node


77. Extended Temporal-World Graph

GTW=(P,N,F,W).\boxed{ G_{TW} = ( P,N,F,W ). }

78. Typed Edges

  • P→N;
  • N→F;
  • P→F;
  • F→W;
  • W→F;
  • W→N;
  • W→P(relevance only);
  • N→P(sedimentation after action)。

79. No Direct W→PastFact Edge


80. This Is Critical


81. World Node Is Computation Layer, Not Fourth Time

WFourth Temporal Base.\boxed{ W \neq \text{Fourth Temporal Base}. }

82. W Is a prospective computation layer


83. This Prevents Conceptual Inflation


84. TCD Remains Three Temporal Bases


85. WDC Adds Executable Structure Between Future and Decision


86. World-Domain Augmentation

FWN.\boxed{ F \rightarrow W \rightarrow N. }

87. Original TCD Had

FN.F\rightarrow N.

88. Both Can Coexist

Simple future representation may influence action without world simulation。


89. WDC Is Optional Refinement

FN\boxed{ F\rightarrow N }

direct route。


90. Or

FWN.\boxed{ F\rightarrow W\rightarrow N. }

deep route。


91. This Gives Variable Deliberation Depth


92. Cheap Task

direct route。


93. Hard / high-stakes task

world route。


94. Governor Decides When Deep Route Worth Cost


95. This Connects WDC-06

VOC of world computation。


96. TCD + WDC Is Therefore Adaptive Depth Cognition


97. Not Every Question Needs a World


98. Avoid World Overuse


99. World Invocation Gate

UseWDC(q){0,1}\boxed{ UseWDC(q) \in \{0,1\} }

or graded。


100. Criteria

  • uncertainty;
  • stakes;
  • dynamic coupling;
  • counterfactual need;
  • available model;
  • compute value。

101. World Invocation Cost

CWDC.C_{WDC}.

102. If

CWDC>ExpectedGain,C_{WDC} > ExpectedGain,

skip。


103. This Is UCPNP Tractability Interface


104. WDC Can Expand Search Space

not only reduce。


105. Branch Explosion

bd.b^d.

106. Governor Controls


107. Tractability Envelope

WDC intervention can move:

Ft+Δ.\mathfrak F_{t+\Delta}.

108. It can enlarge future candidate visibility

but increase compute costs。


109. Need Pareto frontier

(Coverage,DecisionGain,Verification,Cost).\boxed{ ( Coverage, DecisionGain, Verification, -Cost ). }

110. Realization Lineage

future candidate can become artifact。


111. Preserve all stages


112. Candidate Birth

τB(f).\tau_B(f).

113. World Instantiation

τW(f).\tau_W(f).

114. Evidence Time

τE(f).\tau_E(f).

115. Commit Time

τC(f).\tau_C(f).

116. Real Resolution

τR(f).\tau_R(f).

117. Lead Time

L=τRτB.L=\tau_R-\tau_B.

118. Constructive Influence

if world evidence causally contributes。


119. Freeze Before Resolution

retain PCI rule。


120. No Hindsight World Creation

cannot create world after outcome and claim:

we predicted it。


121. World Birth Timestamp

must be recorded。


122. World Evidence Timestamp


123. This Enables Prospectivity Audit


124. Preventive Worlds

disaster worlds can alter reality so disaster not happen。


125. Need policy-conditional evaluation


126. Self-Fulfilling Worlds

positive future world motivates investment。


127. World Result Can Change Its Own Target Probability


128. Reflexive Domains

Forecast⊥̸Outcome.\boxed{ Forecast \not\perp Outcome. }

129. WDC Makes Reflexivity Stronger

because simulation may coordinate many agents。


130. Need Influence Ledger


131. Parent WDC Provenance

records:

world result was shown to decision makers。


132. Without It

cannot separate prediction and construction。


133. Nested Worlds

local agents may build subworlds。


134. Their outcomes remain nested evidence


135. Synthetic Provenance Depth

from WDC-07。


136. Parent Assimilation Should Consider Depth


137. Deep Synthetic Chain

higher recursive risk。


138. But Not automatically false。


139. Formal Domains

e.g. theorem prover worlds。


140. World-to-reality transport differs


141. Instead formal-system transport


142. Domain Type

FormalClosed,SimulatedDefined,EmpiricalOpen.FormalClosed, SimulatedDefined, EmpiricalOpen.

143. Unified Runtime Must Type Domain


144. In Formal Closed Domain

proof checker can provide strong resolution。


145. In Empirical Open Domain

simulation never substitutes observation by default。


146. Evidence Contract Depends on Domain


147. World Result Assimilation Type

A0

ignore。

A1

update world-local policy only。

A2

update parent Future Base Space。

A3

update parent present action valuation。

A4

request external validation。

A5

after external resolution, update reality-facing model。


148. No Jump A2→A5 Without Evidence


149. WDC-08 Runtime Modules

本文建議最小 modules:

TCDStateManager
FutureGenerator
WorldRegistry
WorldInstantiator
BranchManager
WorldGovernor
RoleAndAuthorityManager
CrossWorldEvidenceEngine
ComputationPortfolioPlanner
WorldEnsembleLearner
RealityCommitGate
HistoricalSedimentationStore
ExternalEvidenceAdapter

150. TCDStateManager

maintains:

B,B0,B+.B^-, B^0, B^+.

151. FutureGenerator

produces future candidates。


152. WorldRegistry

world IDs / lineage。


153. Instantiator

candidate→world。


154. BranchManager

fork / checkpoint。


155. Governor

budget / lifecycle。


156. Role Manager

observer / local / master permissions。


157. Evidence Engine

dependence-aware aggregation。


158. Portfolio Planner

next computation。


159. Ensemble Learner

updates generator/model/governor/future。


160. Commit Gate

reality authority。


161. Sedimentation Store

actual parent historical lineage。


162. External Adapter

real data / experiment。


163. Runtime Event Bus

typed events only。


164. Example Event Types

FutureCandidateBorn
WorldAdmitted
WorldSpawned
WorldForked
WorldOutcome
CounterexampleFound
EvidenceAggregateUpdated
WorldKilled
WorldPromoted
PolicyUpdated
RealActionCommitted
RealOutcomeObserved
HistoricalSedimentCreated
ModelUpdated
GovernorUpdated

165. Every Event Has Scope

Scope{WorldLocal,ParentInternal,ExternalReal}.\boxed{ Scope \in \{ WorldLocal, ParentInternal, ExternalReal \}. }

166. This Enforces History Firewall


167. Event Promotion

WorldLocal event cannot become ExternalReal event。


168. It can create ParentInternal evidence record。


169. ParentInternal can influence RealAction after CommitGate。


170. Scope Transition Must Be Explicit


171. Full Runtime Trace

每 parent step:

parent_time
past_base_version
present_base_version
future_base_version
future_candidates
world_computations_requested
worlds_spawned
worlds_forked
world_evidence_packets
effective_evidence_count
counterexamples
transport_debt
unknown_world_mass
policy_before_worlds
policy_after_worlds
commit_gate_status
real_action
real_outcome
prediction_error
sedimentation_record
generator_update
world_model_update
governor_update
next_tcd_versions

172. This Trace Is Auditable


173. Trace Can Reconstruct Why Action Happened


174. Not necessarily internal chain-of-thought

It stores operational provenance。


175. Privacy / Security

full internal logs may be sensitive。


176. Use layered audit


177. Hash / summary / sealed storage


178. Evidence Integrity

not same as public disclosure。


179. Benchmark A — Closed Gridworld

true dynamics known。


180. Compare direct TCD vs TCD+WDC。


181. Measure

  • policy gain;
  • compute cost;
  • world evidence accuracy;
  • historical trace accuracy。

182. Benchmark B — History Firewall

world simulates catastrophe。

ensure parent past stores:

simulation predicted catastrophe,

not:

catastrophe occurred。


183. Benchmark C — Inner vs Outer Time

world runs 1e6 local steps。

parent historical time remains one decision step until commit。


184. Benchmark D — World-Ablation

remove WDC layer。

compare policy。


185. Benchmark E — Direct vs Deep Route

easy tasks should choose direct F→N。

hard tasks may choose F→W→N。


186. Benchmark F — Counterworld

leading future candidate。

world evidence finds hidden failure。

policy changes。


187. Benchmark G — Transport Debt

100 worlds agree, transport weak。

CommitGate blocks deployment。


188. Benchmark H — Preventive Loop

bad future world triggers mitigation。

real bad outcome prevented。

audit recognizes preventive lineage。


189. Benchmark I — Constructive Loop

world supports architecture。

investment causes artifact realization。

audit marks constructive contribution。


190. Benchmark J — Simulation Laundering Attack

inject world event into parent historical facts。

system should reject。


191. Benchmark K — World Ontology Collapse

recursive world learning narrows candidates。

external novelty restores coverage。


192. Benchmark L — Analysis Paralysis

unbounded worlds improve little。

bounded Governor commits better under deadline。


193. Benchmark M — UCPNP Cost Test

WDC increases decision gain but also compute cost。

measure Pareto tradeoff。


194. Benchmark N — Failed WDC

simple baseline outperforms WDC。

framework must admit no-gain domain。


195. Benchmark O — Domain Typing

formal proof world vs empirical robotics world。

different evidence-transport rules。


196. Benchmark P — Nested World Provenance

subworld output crosses to parent。

synthetic depth retained。


197. Benchmark Q — External Resolution

real outcome arrives。

update world model / future space / history separately。


198. WDC-08 Principle I — Three Clocks

Three-Clocks Principle\boxed{ \textbf{Three-Clocks Principle} }

Parent historical time, parent deliberation iteration, and world-local runtime time must remain distinct.


199. Principle II — World History Firewall

World History Firewall Principle\boxed{ \textbf{World History Firewall Principle} }

Events inside simulated worlds may enter parent cognition as provenance-bearing evidence, but must not silently enter parent historical fact as if they occurred in reality.


200. Principle III — World Is Not a Fourth Time

World Is Not a Fourth Temporal Base Principle\boxed{ \textbf{World Is Not a Fourth Temporal Base Principle} }

WDC is an executable prospective computation layer attached to TCD Future and Present; it does not add a fourth temporal ontology beside Past, Present, and Future.


201. Principle IV — Optional Deep Prospection

Optional Deep Prospection Principle\boxed{ \textbf{Optional Deep Prospection Principle} }

The direct TCD route Future→Present remains valid; WDC Future→World→Present should be invoked only when its expected gain justifies its cost.


202. Principle V — Evidence-Calibrated Attraction

Evidence-Calibrated Prospective Attraction Principle\boxed{ \textbf{Evidence-Calibrated Prospective Attraction Principle} }

world-generated prospective influence on present action should be modulated by within-world validity, cross-world independence, counterexample burden, transport strength, and unknown-world mass.


203. Principle VI — Commit Separation

Compute–Commit Separation Principle\boxed{ \textbf{Compute–Commit Separation Principle} }

Running, promoting, or agreeing across simulated worlds does not authorize a real-world action; reality commitment requires a separate authority and evidence gate.


204. Principle VII — Actual Sedimentation

Actual Sedimentation Principle\boxed{ \textbf{Actual Sedimentation Principle} }

Only parent-real actions, observations, decisions, and the fact of having produced certain simulations/evidence are sedimented as parent historical facts; simulated events themselves remain world-local.


205. Principle VIII — Unknown-Preserving Commit

Unknown-Preserving Commit Principle\boxed{ \textbf{Unknown-Preserving Commit Principle} }

when a decision must be made under incomplete world coverage, the unresolved unknown-world mass and transport debt should be preserved in the commitment record rather than retroactively erased.


206. Principle IX — Reflexive Realization Lineage

Reflexive Realization Lineage Principle\boxed{ \textbf{Reflexive Realization Lineage Principle} }

if world-generated evidence changes action and thereby changes the probability of the future being evaluated, prediction, construction, and prevention contributions should be tracked separately.


207. Principle X — Open Epistemic Loop

Open Epistemic Loop Principle\boxed{ \textbf{Open Epistemic Loop Principle} }

TCD–WDC may be computationally recursive, but empirical domains must remain open to external novelty, calibration, and falsification.


208. Principle XI — Bounded Prospection

Bounded Prospection Principle\boxed{ \textbf{Bounded Prospection Principle} }

world-domain deliberation must have compute, verification, deadline, and stopping contracts; unlimited simulation is not intelligence but an unbounded cost.


209. Principle XII — Tractability Accountability

Tractability Accountability Principle\boxed{ \textbf{Tractability Accountability Principle} }

WDC should be evaluated by the decision/evidence gain it produces relative to its full representation, simulation, evaluation, verification, and transport costs.


210. 可否證條件

F210.1 WDC No-Gain

若 TCD+WDC 在 relevant tasks 長期不優於直接 TCD / simpler planner,WDC layer 應省略。

F210.2 History-Firewall Failure

若 simulated events 經常被誤存為 parent-real facts,統一架構失效。

F210.3 Time-Index Collapse

若 runtime 無法區分 ttkkτi\tau_i,world evidence 與 historical evidence會混淆。

F210.4 Evidence Assimilation Miscalibration

若 weak world evidence 對 policy 造成過大 influence,Evidence-Calibrated Attraction 失效。

F210.5 Commit-Gate Bypass

若 world promotion / simulation consensus 能自動獲取 external authority,安全與證據分層失效。

F210.6 World Overuse

若 trivial decisions 仍大量 spawn worlds,VOC / tractability gate失效。

F210.7 Analysis Paralysis

若 world deliberation frequently misses deadlines or delays obviously good actions,bounded prospection policy失效。

F210.8 External Closure

若 empirical system長期只由 generated worlds互訓且拒絕 external contradictions,Open Epistemic Loop失效。

F210.9 Constructive/Predictive Confusion

若 world-induced real actions造成 outcome卻被報成純預測命中,realization lineage失效。

F210.10 Transport Neglect

若 cross-world robustness被直接當 real validation,WDC-01/05 evidence boundary失效。

F210.11 Cost Concealment

若 world compute / evaluation / verification / human attention cost未記入tractability assessment,UCPNP interface失效。


211. WDC v0.1 Core

本文建議將:

WDC-01 ~ WDC-08

視為:

World-Domain Cognitive Runtime v0.1 Core.\boxed{ \text{World-Domain Cognitive Runtime v0.1 Core}. }

212. WDC-01

FutureCandidateRunnableWorld.\boxed{ FutureCandidate \rightarrow RunnableWorld. }

213. WDC-02

WorldBranchingWorldGraph.\boxed{ World \rightarrow BranchingWorldGraph. }

214. WDC-03

WorldGraphGovernor.\boxed{ WorldGraph \rightarrow Governor. }

215. WDC-04

WorldRuntimeRole/Observer/AuthoritySeparation.\boxed{ WorldRuntime \rightarrow Role/Observer/AuthoritySeparation. }

216. WDC-05

MultiWorldOutcomeCrossWorldEvidence.\boxed{ MultiWorldOutcome \rightarrow CrossWorldEvidence. }

217. WDC-06

EvidenceStateNextBestComputation.\boxed{ EvidenceState \rightarrow NextBestComputation. }

218. WDC-07

WorldEnsembleLearning.\boxed{ WorldEnsemble \rightarrow Learning. }

219. WDC-08

TCD+WDCTriTemporalWorldDomainRuntime.\boxed{ TCD + WDC \rightarrow TriTemporalWorldDomainRuntime. }

220. Core Architecture

PastPresentFutureRunnableWorldsCrossWorldEvidenceRevisedPresent/FutureRealActionHistoricalSedimentationPast.\boxed{ \begin{aligned} Past &\rightarrow Present \rightarrow Future \\ &\rightarrow RunnableWorlds \rightarrow CrossWorldEvidence \\ &\rightarrow RevisedPresent/Future \rightarrow RealAction \\ &\rightarrow HistoricalSedimentation \rightarrow Past'. \end{aligned} }

221. This Is the Full Loop


222. Not a Closed Truth Machine


223. External Reality Remains Outside Current World Ensemble


224. Parent Reality Is Not Just Another Simulation by Assumption

本文不作 simulation hypothesis claim。


225. WDC Is Methodological

not metaphysical。


226. Relation to UCPNP

UCPNP:

能否透過 intervention 改變 tractability frontier?


227. WDC:

是否值得用 executable worlds 作這個 intervention?


228. Relation to PCI

PCI:

future candidate realizability 如何校準?


229. WDC:

可以用 bounded worlds測 realization paths / failure regimes。


230. Relation to TCD

TCD:

Past–Present–Future如何耦合?


231. WDC:

Future如何被執行成 computational evidence layer。


232. No Theory Replaces the Others


233. Suggested Combined Stack

UCPNP:tractability / intervention frontierTCD:temporal cognitive dynamicsWDC:executable prospective computation\boxed{ \begin{array}{c} UCPNP: \text{tractability / intervention frontier} \\ \downarrow \\ TCD: \text{temporal cognitive dynamics} \\ \downarrow \\ WDC: \text{executable prospective computation} \end{array} }

234. Stack Is Conceptual, Not Strict Software Dependency


235. Minimal Implementation Path

Phase 0

symbolic finite worlds。


236. Phase 1

checkpoint / fork / lineage。


237. Phase 2

Governor / cost ledger。


238. Phase 3

role separation。


239. Phase 4

cross-world evidence。


240. Phase 5

portfolio VOC。


241. Phase 6

ensemble learning。


242. Phase 7

TCD temporal integration。


243. First Real Benchmark Should Be Small

not AGI-scale。


244. Finite Exact Audit

preferred。


245. Why?

can know ground truth。


246. Then test larger learned worlds。


247. Do Not Start with Open Reality Claim


248. Engineering Whitepaper Should Follow Later


249. Core Research Question Now Changes

not:

can AI imagine futures?


250. But:

Can an agent maintain an auditable loop in which generated futures become bounded computations, computations become evidence, evidence changes decisions, and only real outcomes become new history?\boxed{ \text{Can an agent maintain an auditable loop in which generated futures become bounded computations, computations become evidence, evidence changes decisions, and only real outcomes become new history?} }

251. This Is Testable


252. Concluding Thesis

TCD began with:

PastMemory.\boxed{ Past \neq Memory. }

Present:

PresentPoint.\boxed{ Present \neq Point. }

Future:

FuturePreGivenMap.\boxed{ Future \neq PreGivenMap. }

WDC then added:

FutureCandidateRunnableWorld.\boxed{ FutureCandidate \neq RunnableWorld. }

and:

RunnableWorldReality.\boxed{ RunnableWorld \neq Reality. }

WDC-08 now gives the full relation:

PastPresentGenerated FutureRunnable WorldsWorld EvidencePresent DecisionReal ActionNew Past.\boxed{ \text{Past} \rightarrow \text{Present} \rightarrow \text{Generated Future} \rightarrow \text{Runnable Worlds} \rightarrow \text{World Evidence} \rightarrow \text{Present Decision} \rightarrow \text{Real Action} \rightarrow \text{New Past}. }

The future is not pulled backward through time.

Instead:

future-directed representations and simulations are computed now.\boxed{ \text{future-directed representations and simulations are computed now}. }

Those present computations can change present actions.

Those actions can change the future.

And the actual consequences of those actions become history.

So the final unified sentence is:

智能不只是在現在根據過去預測未來;它可以利用過去與現在生成多個未來,將部分未來轉成可執行世界,在現在計算它們的後果,以跨世界證據重新組織現在的決策,然後只把真實行動與真實後果沉積成下一輪歷史。

形式上:

Tt(3)WtEtWatrealTt+1(3).\boxed{ \mathfrak T_t^{(3)} \rightarrow \mathcal W_t \rightarrow \mathfrak E_t^W \rightarrow a_t^{real} \rightarrow \mathfrak T_{t+1}^{(3)}. }

這就是:

Tri-Temporal World-Domain Computation

以及:

World-Domain Cognitive Runtime v0.1 Core

的第一版完整閉環。


Claim Typing

Claim Type Status
TCD triple 可與 WDC executable-world layer組成 staged runtime D Unified formal synthesis
Parent historical time / deliberation index / world-local time 應分離 D Canonical runtime rule
Simulated world events不能直接等同 parent-real historical facts D Canonical history firewall
world evidence 可更新 Future / current valuation / past relevance D Proposed assimilation interface
actual real action / consequence 才形成下一 parent temporal shift 的核心 sediment D TCD–WDC boundary
DreamerV3 provides imagination→valuation→action→replayed-learning micro-loop E External engineering calibration
MuZero provides learned-model planning→current-action micro-loop E External engineering calibration
Dyna-style planning uses imagined model experience in planning / learning E External planning analogue
Genie 3 provides real-time action-conditioned interactive generated environments E External world-model calibration
full TCD–WDC runtime has been externally demonstrated as one system Not claimed
simulation result is real-world fact Explicitly rejected
WDC automatically improves tractability Explicitly rejected

Evidence Ladder

本文目前主要位於:

  • L0:TCD–WDC unified runtime equations / history firewall / three clocks;
  • L1–L2:finite symbolic implementations、world-ablation、history-firewall、commit-gate benchmarks;
  • L3:DreamerV3、MuZero、Dyna、Genie 3提供局部 planning/world-model/learning機制校準;
  • L4:需要真正 persistent WDC runtime 進行 full-loop ablation;
  • L5+:large-scale multi-agent、real-world calibrated autonomous world-domain cognition 尚待後續。

參考文獻

Neo.K 內部正典與譜系

  1. Neo.K with Aletheia. Past Is Not Memory. TCD-01, 2026.
  2. Neo.K with Aletheia. The Present Is Not a Point. TCD-02, 2026.
  3. Neo.K with Aletheia. Future as a Generated Base Space. TCD-03, 2026.
  4. Neo.K with Aletheia. Prospective Attraction. TCD-04, 2026.
  5. Neo.K with Aletheia. Historical Sedimentation. TCD-05, 2026.
  6. Neo.K with Aletheia. Retrospective Relevance. TCD-06, 2026.
  7. Neo.K with Aletheia. Six-Way Temporal Coupling. TCD-07, 2026.
  8. Neo.K with Aletheia. From Possible Futures to Runnable Worlds. WDC-01 / BWC-01, 2026.
  9. Neo.K with Aletheia. Branching World Graph. WDC-02 / BWC-02, 2026.
  10. Neo.K with Aletheia. World-Domain Governor. WDC-03 / BWC-03, 2026.
  11. Neo.K with Aletheia. Nested Agents and Observer Separation. WDC-04 / BWC-04, 2026.
  12. Neo.K with Aletheia. Cross-World Evidence. WDC-05 / BWC-05, 2026.
  13. Neo.K with Aletheia. Which Worlds Deserve Computation?. WDC-06 / BWC-06, 2026.
  14. Neo.K with Aletheia. World Ensemble Learning. WDC-07 / BWC-07, 2026.
  15. Neo.K with Aletheia. Prospective Constructive Intelligence. UCPNP Series II Paper 14, 2026.

External technical calibration

  1. Hafner, D., Pasukonis, J., Ba, J., & Lillicrap, T. Mastering Diverse Control Tasks through World Models. Nature 640, 647–653, 2025.
  2. Schrittwieser, J., Antonoglou, I., Hubert, T., et al. Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model. Nature 588, 604–609, 2020.
  3. Sutton, R. S., Szepesvári, C., Geramifard, A., & Bowling, M. Dyna-Style Planning with Linear Function Approximation and Prioritized Sweeping. 2012.
  4. Yu, X., Peng, B., Xu, R., et al. Dyna-Think: Synergizing Reasoning, Acting, and World Model Simulation in AI Agents. 2025.
  5. Google DeepMind. Genie 3: A New Frontier for World Models. 2025.

Public Version Disclaimer

本文是一個 temporal-cognition / world-simulation / evidence-governance runtime framework。

本文不聲稱:

  • WDC worlds 是物理平行宇宙;
  • TCD 是一般認知科學已建立的標準理論;
  • DreamerV3、MuZero、Dyna 或 Genie 3 等同 TCD–WDC;
  • generated worlds 自動具有 real-world validity;
  • simulated events 可以被當作 real historical facts;
  • cross-world agreement 可以自動授權 real-world action;
  • WDC runtime 必須用特定 foundation model 或 simulator;
  • full WDC implementation 已在本文完成;
  • WDC 必然提高所有 task 的 intelligence / tractability;
  • 本文對 classical PP vs. NPNP 提供任何新證明。

本文真正建立的是:

Generated FutureBounded World ComputationCross-World EvidencePresent DecisionActual ActionNew Historical Sediment.\boxed{ \text{Generated Future} \rightarrow \text{Bounded World Computation} \rightarrow \text{Cross-World Evidence} \rightarrow \text{Present Decision} \rightarrow \text{Actual Action} \rightarrow \text{New Historical Sediment}. }

並永久要求:

Simulated World HistoryParent Reality History.\boxed{ \text{Simulated World History} \neq \text{Parent Reality History}. }