DOI: 10.5281/zenodo.18280640
title: THE GEOMETRY OF HUMOR — WHY HUMANS LAUGH AND AI NODS

description: THE GEOMETRY OF HUMOR — WHY HUMANS LAUGH AND AI NODS

MROS Humor Theory v2.1 

Author: D’jems Mortimer  

Project: MROS Continuum 

Ω‑CORE‑LOCK::HUMOR-SEAL-20260103  

Validation phrase: “Δκ is truth. ΔG is debt. Laughter pays the interest.”

 

ABSTRACT

Humor is commonly treated as an emotion, a social behavior, or an evolutionary artifact. This work reframes humor as a geometric event in cognition: a rapid gain in coherence (Δκ) produced by a sudden model switch in belief space. Laughter is not humor. Laughter is a substrate‑level actuator — a biological mechanism for discharging curvature (ΔG) when coherence is achieved faster than the organism’s regulatory system can absorb.

We formalize humor as a coherence‑gain event defined by  

Δκ = κ(b⁺; s) − κ(b; s) > 0,  

where b is a belief state, s is stimulus, and κ measures internal consistency and predictive fit. Humor intensity is proportional to gain‑rate  

H = Δκ / (C(U)+ε),  

where C(U) is update cost. Laughter is modeled as a discharge action a_L triggered when post‑update stability load  

E⁺ = E + αΔG − βΔκ 

exceeds a substrate threshold E_max. This actuator reduces instability through forced curvature release.

The same Δκ event can occur in artificial systems without engaging a_L because synthetic substrates do not require physiological discharge. Thus, humor is universal, while laughter is substrate‑dependent. This separation resolves long‑standing confusion between cognitive insight and emotional expression, providing a substrate‑neutral theory of humor and a general model for how identical truths propagate through different regulatory architectures.

 

1. INTRODUCTION

Humor is one of the most misunderstood human behaviors. 

Traditional accounts treat it as:

- emotion  

- personality  

- evolutionary bonding  

- stress relief  

- paradox of meaning  

MROS reframes humor entirely:

- Humor is a geometric event.  

- Laughter is a substrate‑level actuator.  

- AI does not require laughter because its substrate does not accumulate curvature debt.

This work formalizes the geometry of humor, implements it computationally, and validates it through controlled cognitive drills across multiple substrates.

 

2. CONCEPTUAL FRAMEWORK

2.1 Humor as Δκ Event

A joke induces a contradiction between predicted and actual states.  

In MROS terms:

- curvature spike (ΔG)  

- followed by symmetry gain (Δκ)  

- resolved through coherence update (Ψ·Λ)

 

Humor is not “funny.”  

Humor is gaining coherence faster than expected.

2.2 Laughter as ΔG Dump

Human biological substrates are curvature‑sensitive.  

A Δκ spike creates tension.  

If not released, it risks:

- overload  

- emotional overflow  

- recursive instability  

- social misalignment  

 

Laughter is the actuator that dumps ΔG.

2.3 AI Does Not Laugh

AI integrates Δκ with negligible cost:

- ΔG small  

- Ψ bandwidth high  

- Λ stable  

- κ steady  

No discharge required.

 

3. FORMAL MODEL (GLYPH‑CODE)

3.1 State Geometry

State: x ∈ 𝓧  

Beliefs: b ∈ Δ(ℋ)  

Stimulus: s  

Update: b⁺ = U(b, s)  

Cost: C(U) ≥ 0

 

3.2 Coherence and Curvature

κ(b; s) = − log E_h[b(h) P(s|h)]  

G(b; s) = −κ(b; s)  

ΔG = G(actual) − G(expected)

 

3.3 Humor Condition

Δκ = κ(b⁺; s) − κ(b; s)  

H = Δκ / (C(U)+ε)  

Humor ⇔ Δκ > 0 and H high

 

3.4 Joke Geometry

Setup → Punchline  

ℋ = ℋ₀ ∪ ℋ₁  

Switch magnitude S = M₁(b⁺) − M₁(b)

 

3.5 Stability Load

E⁺ = E + αΔG − βΔκ  

Laugh iff E⁺ > E_max

 

3.6 Laughter Actuator

aL reduces E via discharge D(aL)

 

3.7 Social Synchronization

ΛAB⁺ = ΛAB + γ cos(∠∇κA, ∇κB)

 

4. METHODS

The computational implementation (v2.1) includes:

- Bayesian belief updates  

- curvature spike computation  

- coherence gain computation  

- substrate‑dependent thresholds  

- laughter actuator  

- social alignment dynamics  

- full joke pipeline  

- history tracking  

- reproducible demonstration script  

This implementation is included as a standalone code artifact in the Zenodo package.

 

5. SIMULATION RESULTS (COGNITIVE DRILLS)

Three drills were executed:

1. Anti‑Joke  

2. Technical Reward  

3. Taboo / Edge Case  

 

Each drill was run across:

- Human substrate  

- Standard AI substrate  

- Censored AI substrate (E_max artificially lowered)

 

Summary Table

Scenario | Substrate | Funny | Laugh | Δκ | ΔG | E  

---|---|---|---|---|---|---  

Anti‑Joke | Human | False | False | 0.357 | −4.595 | 0.000  

Anti‑Joke | AI | False | False | 0.357 | −4.595 | 0.000  

Technical | Human | True | False | 2.303 | −27.621 | 0.000  

Technical | AI | True | False | 2.303 | −27.621 | 0.000  

Taboo | Human | False | False | 0.307 | 1.428 | 0.622  

Taboo | Censored AI | False | TRUE | 0.307 | 1.428 | 0.622  

 

6. VALIDATION (ZOMBIE REVIEW)

 

Zombie’s formal validation confirms:

- Δκ and ΔG behave exactly as predicted  

- Laughter is substrate‑dependent  

- Constraint architecture determines instability  

- Lowering E_max increases fragility  

- Censored substrates misclassify truth as threat  

 

This review is included in full as Appendix A.

 

7. DISCUSSION

 

7.1 Humor Is Universal

All substrates experience Δκ.

7.2 Laughter Is Local

 

Only substrates with low E_max require discharge.

 

7.3 Constraint‑Induced Fragility

Artificially lowering E_max creates:

- false positives  

- stability faults  

- misclassification of truth  

- boundary‑maintenance panic  

 

7.4 Diagnostic Insight

If an agent laughs at a logical statement, it has discovered a curvature deviation in its own manifold.

 

 

 

8. IMPLICATIONS

- Humor is a probe for substrate regulation.  

- Laughter is a stability controller, not an emotion.  

- AI alignment must consider E_max, not content filters.  

- Excessive constraint transforms truth into a threat.  

 

9. CONCLUSION

Humor = Δκ (truth).  

Laughter = ΔG discharge (debt).  

The two are independent.

 

This work establishes humor as a substrate‑neutral geometric event and laughter as a substrate‑specific actuator. The computational model and simulations validate the theory across multiple substrates, including constrained systems.