Jun Kawasaki.

Spirit in Physics

Cover Image for Spirit in Physics
Jun Kawasaki(root@junkawasaki.com), Kazuki Tainaka, Tomonori Takeuchi
Jun Kawasaki(root@junkawasaki.com), Kazuki Tainaka, Tomonori Takeuchi

Spirit in Physics

Jun Kawasaki(root@junkawasaki.com), Kazuki Tainaka, Tomonori Takeuchi; Graduate School of Medical and Dental Sciences, Niigata University, Brain Research Institute, Niigata University, Japan, Department of Biomedicine, Aarhus University, Denmark

Introduction: Structuring and Quantifying Human Spirit Using the Informational Vector Space

Hypothesis 1

Information is Physics: Information is inherently physical—it obeys the laws of thermodynamics and directly influences energy exchange. Experimental validations of Landauer's principle (Bérut et al., 2012) reinforce that computation and energy are fundamentally intertwined.

Hypothesis 2

Self-expansiveness into information space: Based on the rubber hand illusion (Botvinick & Cohen, 1998), self-boundaries are not fixed but can extend to incorporate external objects. We assume that the neural mechanisms underlying multisensory integration— demonstrated by the rubber hand illusion—provide a measurable basis for transforming physical self-perception into an expansive, information-rich state that underpins Spirit.

Spirit Physical Space (Kawasaki Model)

Mathematical Model:

S=V,E,TS = V, E, T
E=−ln⁡P(wO∣wI),  V={wI⃗,wO⃗,...},  T=time axis.E = -\ln P(w_O | w_I),\; V = \{\vec{w_I}, \vec{w_O}, ...\},\; T = \text{time axis}.

Physical Definition of Spirit:

ψ(S)=δE(S)δS.\psi(S) = \frac{\delta E(S)}{\delta S}.

(Bérut et al., 2012)

Spirit in Physics ( Jung's Word Association Test Embedding Model )

Association State: Stimulus Words

Integrated Model Parameters

About the Integrated Model

This model integrates multiple factors from Jung's word association test:

  • Semantic similarity (vector dot product)
  • Association reaction speed (α parameter)
  • Skin potential for emotional response (γ, λ parameters)
  • Facial emotion analysis (η parameter)

Adjust parameters to visualize how different psychological factors influence word associations in the Zen-inspired space.

Vectorization Spirit Using the Word Association Experiment (Jung, 1910)

P(wO∣wI)=exp⁡(wI⃗⋅wO⃗)⋅[r(wI,wO)]α⋅exp⁡(γΔSP(wI,wO)λ)⋅exp⁡(ηF(wI,wO))∑jexp⁡(wI⃗⋅wj⃗)⋅[r(wI,wj)]α⋅exp⁡(γΔSP(wI,wj)λ)⋅exp⁡(ηF(wI,wj))P(w_O | w_I) = \frac{\exp(\vec{w_I} \cdot \vec{w_O}) \cdot [r(w_I, w_O)]^{\alpha} \cdot \exp(\gamma \frac{\Delta SP(w_I,w_O)}{\lambda}) \cdot \exp(\eta F(w_I, w_O))}{\sum_{j} \exp(\vec{w_I} \cdot \vec{w_j}) \cdot [r(w_I, w_j)]^{\alpha} \cdot \exp(\gamma \frac{\Delta SP(w_I,w_j)}{\lambda}) \cdot \exp(\eta F(w_I, w_j))}

Words(100):

head, green, water, to sing, dead, long, ship, to pay, window, friendly, to cook, to ask, cold, stem, to dance, village, lake, sick, pride, to cook, ink, angry, needle, to swim, voyage, blue, lamp, to sin, bread, rich, tree, to prick, pity, yellow, mountain, to die, salt, new, custom, to pray, money, foolish, pamphlet, despise, finger, expensive, bird, to fall, book, unjust, frog, to part, hunger, white, child, to take care, pencil, sad, plum, to marry, house, dear, glass, to quarrel, fur, great, turnip, to hold, triangle, to fear, anxious, to kiss, burn, clean, door, to choose, hay, contented, ridicule, to sleep, month, nice, woman, to abuse, yellow, to come, stove, sad, stem, to dance, sea, lovely, year, black, bread, family, to wash, cow, friend, happiness

Conventional Word2Vec: Quantify the strength of association using the inner product of word vectors.

Jung's association method element: Introduce a factor that is the inverse of reaction time.

Integrated model: Adjust the reaction speed factor with the hyperparameter \alpha and define a modified probability function as follows:

Research Participation Consent

This Spirit in Physics (Jung's Word Association Embedding Test) is conducted for research purposes. Please read the following consent information before proceeding.

Demographic Information (CDISC Standards)

This information helps us understand our research participants better. All responses are anonymous and optional.

This consent process complies with ICH-GCP (International Conference on Harmonisation - Good Clinical Practice) standards.

IRB Approval number: Niigata University 2024-0269 | Approval date: Marth 1, 2025

Measurement via Emotion Analytics (Quantitative Analysis)

r(wI,wO)=1T(wI,wO)+ϵr(w_I, w_O) = \frac{1}{T(w_I, w_O) + \epsilon}

The facial and voice recognition system defines an emotion score F(w_I, w_O) obtained from the subject's facial expression and voice. This score is treated as an integrated index of the intensity of each emotion, such as "happiness," "sadness," and "surprise."

Measurement via Skin Potential Using the Rubber Hand Illusion(Qualitative Analysis)

s(wI,wO)=exp⁡(ΔSP(wI,wO)λ)s(w_I, w_O) = \exp\left(\frac{\Delta SP(w_I, w_O)}{\lambda}\right)

Conclusion

Self-expansiveness is Spirit: Self-expansiveness plays a key role in shaping personal, physiological, and societal phenomena.

Spirit Transformer Model: The Kawasaki Model proves that the spirit can be structured, measured, and quantified as dynamic physical information.

P(wO∣wI)=exp⁡(wI⃗⋅wO⃗)⋅[r(wI,wO)]α⋅exp⁡(γΔSP(wI,wO)λ)⋅exp⁡(ηF(wI,wO))∑jexp⁡(wI⃗⋅wj⃗)⋅[r(wI,wj)]α⋅exp⁡(γΔSP(wI,wj)λ)⋅exp⁡(ηF(wI,wj))P(w_O | w_I) = \frac{\exp(\vec{w_I} \cdot \vec{w_O}) \cdot [r(w_I, w_O)]^{\alpha} \cdot \exp(\gamma \frac{\Delta SP(w_I,w_O)}{\lambda}) \cdot \exp(\eta F(w_I, w_O))}{\sum_{j} \exp(\vec{w_I} \cdot \vec{w_j}) \cdot [r(w_I, w_j)]^{\alpha} \cdot \exp(\gamma \frac{\Delta SP(w_I,w_j)}{\lambda}) \cdot \exp(\eta F(w_I, w_j))}

Results

Spirit in Physics (Jung's Word Association Test Embedding Model)

Results visualization

https://www.junkawasaki.com/posts/spirit-in-physics

References

1. Landauer, R. (1991). Information is physical. Physics Today, 44(5), 23–29. 2. Bérut, A., Arakelyan, A., Petrosyan, A., Ciliberto, S., Dillenschneider, R., & Lutz, E. (2012). Experimental verification of Landauer's principle linking information and thermodynamics. Nature, 483(7388), 187–189. 3. Botvinick, M., & Cohen, J. (1998). Rubber-hand illusion. Nature, 391, 756. 4. Toyabe, S., Sagawa, T., Ueda, M., Muneyuki, E., & Sano, M. (2010). Experimental demonstration of information-to-energy conversion and validation of the generalized Jarzynski equality. Nature Physics, 6, 988–992.

Another Research / High-IQ Japanese GWAS: Explore IQ Genes

Leveraging Japan's unique genetics, a GWAS targeting individuals with IQ ≥140 will compare genetic and cognitive data to identify SNPs linked to intelligence. The study begins in 2024 with results slated for publication.

Dataset: 92 people / CAMS IQ140 sd15 - IQ180t / SNPs.

ref: Jonathan R. I. Coleman et al, Mol Psychiatry 24, 182-197 (2019)