This is my project that organize an article a week about what I learned & thought.

・Inception of English Literature Reading

I read L’Étranger when went back to Taichung.

L’Étranger is a renowned novel by Albert Camus, known in Chinese as 異鄉人.

Vividly encvincing the absurd atmosphere in such a short narrative, L’Étranger portrays an eccentric protagonist with his detached perspective to the ridiculous world.

Camus’s core ideology of Existentialism is pervasive in the plot, giving the reader a slow but impressive rhythm with the story impelled.

To be honest, some of the quirky feelings of the protagonist toward the world is resonate with my own experience. It further makes me believe that the entire world is objective, yet the subjective nature of our explanations can be varied and even multifaceted.

After the GRE exam, I don’t plan to halt my English reading. It’s not just for TOEFL preparation, but also because I’m eager to instill English into my self-culture.

Albiet I study GRE for such a long time, I haven’t love English heartfeltly, and was loath to read the Enghlish articles in the test.

However, I have a keen passion for the lyrics of Oasis and am eager to explore the meaning behind their songs.

Perhaps language mastery always originates from interest.

Next time, I’ll share some experiences once I finish the two English books I am currently reading.

・Erdős–Rényi model

Erdős–Rényi model is an intriguing concept that evoked my attention when I begin to study RL (reinforcement learning).

It refers to a network, which includes n nodes, and the nodes potentially connect to others with the probability p.

Diving deeper, there’re 2 type of Erdős–Rényi model, G (n,M) model & G (n,p) model.

G (n,M) model delineates a network with n nodes and M edges (the connection of the nodes), and the M edges will be constructed evenly at random.

On the other hand, G (n,p) model manefist a network with n nodes and p probability to form an edge, and the edges also be distributed homogeneously.

The operation of the model will sometimes involve a tremendous amount of nodes, and will exist some circumstances to halt it. Furthermore, some researchers also observe the variation of the graphic that n approaches infinity, since the M and p are constant.

The term Erdős–Rényi model is named after Hungarian mathematicians Paul Erdős and Alfréd Rényi, who introduced one of the models in 1959.

Renowned for its random characteristic and suitability for evolutionary research, Erdős–Rényi model is widely utilized across diverse fields such as computer science, physics, and biology, serving as a judicious choice for the understanding of the dynamic system.

・Tit for Tat

“Tit for Tat is the second peculiar term that impressed me in the RL (reinforcement learning) research journey.

Being used extensively in the West, it’s a wide-spread idiom that refers to a person avenging to the adversary with emulating the same demeanor which the opponent just did.

You might easily construe the main concept of this idiom, yet it origined from a riveting story that you probably could not connect with at the first glance.

One day, a fox invite a stork to his home to have dinner together. However, the sly fox always comes up with some artifices in his mind. So he makes a furtive action pouring the soup into a smooth and flat plate. That is, the stork could not eat the soup with his long and thin mouth. So during the conspiracy, all the stork does is stand beside and stare at the fox devouring the dinner.

The next week, stork also invite the fox to his place for dinner, and undoubtedly he’s planing to take revenge.

Similarly, the stork emulates the fox’s tactic, he prepares a flagon and pour the fluid food in. Finally, the fox is mortified with hunger. And the stork successfully punishes the fox for his infelicitous behavior.

Utilizing the same way to torment the adversary, the stark’s thoughts is named “Tit for Tat” and is widely spread.

Nowadays, this strategy is extensively researched in the game theory for the prisoner‘s dilemma and other academic realms, gradually developing to a system to adopt the altruistic behavior.