+ + + +
+ +
+
+ +
+
+ +
+ +
+ +
+ + +
+ +
+ +
+ + + + + +
+ + +
+ + + + + + +
+ + +
+ + + + + + +
+ + +
+ + + + + + + + + + + + + +
+ +
+ +
+
+ + + +
+

Literary

+ +
+ +
+
+ + + + +
+ +
+

Literary#

+ +
+

Autoencoder

+

Don’t be trapped by dogma, which is the results of other people’s thinking

+
+
                                   1. fo(t)
+                                           \
+                              2. So(t) ->  4. Xb -> 5. logHR -> 6. S,(t)
+                                           /
+                                           3. ho(t)
+
+
+
+

Encoding; Linear 1, 2, 3#

+
    +

  • Sensory; experiences randomly sampled from normal distribution

    • +

  • Memory; restricted time-intervals where \(z>3\)

    • +

  • Emotion; mean or \(h_0(t)=k\) in life & great art: think Coen Brothers

    • +
+
+
+

Latent-space; Categorical 4#

+
    +

  • Collective; with categorical variables hierarchical modeling needed

    • +
+
+
+

Decoding; Binary 5, 6#

+
    +

  • Oracle; easy to apply yes/no rules in a univariable sense

    • +

  • Personalize; we draw a red line arbitrarily at, say, \(z=1.96\)

    +
                                     1. Chaos
+                                         \
+                            2. Frenzy ->  4. Dionysian -> 5. Algorithm-> 6. Binary
+                                         /
+                                         3. Energy
+
    +
    +
    • +
+
+
+ + +Hide code cell source + +
+
import numpy as np
+import matplotlib.pyplot as plt
+import scipy.stats as stats
+
+# Time variable
+t = np.linspace(-3, 3, 500)
+
+# Normal distribution parameters
+mu = 0
+sigma = 1
+
+# Functions for the normal distribution
+f_t = stats.norm.pdf(t, mu, sigma)  # PDF of the normal distribution
+S_t = 1 - stats.norm.cdf(t, mu, sigma)  # Survival function (1 - CDF)
+h_t = f_t / S_t  # Hazard function
+
+# Plotting the three panels
+fig, ax = plt.subplots(1, 3, figsize=(15, 5))
+
+# f(t)
+ax[0].plot(t, f_t, label='f(t)')
+ax[0].set_title('Probability Density Function (f(t))')
+ax[0].set_xlabel('Time (t)')
+ax[0].set_ylabel('f(t)')
+ax[0].legend()
+ax[0].grid(True, linestyle='--', linewidth=0.5)
+ax[0].spines['right'].set_visible(False)
+ax[0].spines['top'].set_visible(False)
+
+# S(t)
+ax[1].plot(t, S_t, label='S(t)', color='orange')
+ax[1].set_title('Survival Function (S(t))')
+ax[1].set_xlabel('Time (t)')
+ax[1].set_ylabel('S(t)')
+ax[1].legend()
+ax[1].grid(True, linestyle='--', linewidth=0.5)
+ax[1].spines['right'].set_visible(False)
+ax[1].spines['top'].set_visible(False)
+
+# h(t)
+ax[2].plot(t, h_t, label='h(t)', color='green')
+ax[2].set_title('Hazard Function (h(t))')
+ax[2].set_xlabel('Time (t)')
+ax[2].set_ylabel('h(t)')
+ax[2].legend()
+ax[2].grid(True, linestyle='--', linewidth=0.5)
+ax[2].spines['right'].set_visible(False)
+ax[2].spines['top'].set_visible(False)
+
+# Adjust layout
+plt.tight_layout()
+
+# Show plot
+plt.show()
+
+
+
+
+
+../_images/349c348cc9d72c2a5c9375daf7066d4e5e36ae63f4a5726a3bb7bca002f1c38e.png +
+
+
+

Kurt Vonnegut’s “shape of stories” is entertaining but inaccurate. Hamlet would need an exponential \(f(t)\) to produce the \(h(t)=k\) he described. That would mean that as the plot, for whatever its worth, progresses, there’s an exponentially increasing likelihood of revenge. So do great works have this distribution? that “things” generally happen later than sooner? Inevitability? Damn it. He’s right. We see it with “No Country for Old Men”

+
+
+

Autoencoder

+
    +

  • Art must be critiqued

    +
      +

    • More remote overtones of the harmonic series “heard”?

      • +

    • Embracing of these as inseperable from earlier overtones?

      • +

    • How, then, do our favorite artists perform with regard to one specific overtone?

      • +
    +
    • +

  • Best of art uses history:

    +
      +

    • Reverence

      • +

    • Inference

      • +

    • Deliverance

      • +
    +
    • +

  • Case: Bach’s Air

    +
      +

    • My reverence for him is increased by it

      • +

    • Yet its mostly my new inferences about music in general that dominate my experience

      • +

    • From this vantage I’m in better position to critique and provide much needed deliverance from the shackles of my earlier exposures to music & genres

      • +
    +
    • +
+
+
+
+ + + + +
+ + + + + + +
+ +
+
+
+ +
+ + + +
+ + +
+
+ Contents +
+
+ +
+ + +
+
+ +
+ +
+ +

+By CDP +

+ +
+ +
+ + +
+ +
+ +
+ +
+ +
+ The Artist is the creator of beautiful things + +
+
+ +
+
+ + +