___ acts of kindness

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Random information on the term “___ acts of kindness”:

Altruism is the principle and moral practice of concern for happiness of other human beings, resulting in a quality of life both material and spiritual. It is a traditional virtue in many cultures and a core aspect of various religious traditions and secular worldviews, though the concept of “others” toward whom concern should be directed can vary among cultures and religions.

In an extreme case, altruism may become a synonym of selflessness which is the opposite of selfishness.

In a common way of living, it doesn’t deny the singular nature of the subject, but realizes the traits of the individual personality in relation to the others, with a true, direct and personal interaction with each of them. It is focusing both on a single person and the whole community. In an (not only) Christian practice, it is the law of love direct to the ego and his neighbour.

The word “altruism” was coined by the French philosopher Auguste Comte in French, as altruisme, for an antonym of egoism.[1][2] He derived it from the Italian altrui, which in turn was derived from Latin alteri, meaning “other people” or “somebody else”.[3]

___ acts of kindness on Wikipedia

Random information on the term “Random”:

In algorithmic information theory, algorithmic probability, also known as Solomonoff probability, is a mathematical method of assigning a prior probability to a given observation. It was invented by Ray Solomonoff in the 1960s.[1] It is used in inductive inference theory and analyses of algorithms. In his general theory of inductive inference, Solomonoff uses the prior[clarification needed] obtained by this formula[which?], in Bayes’ rule for prediction [example needed][further explanation needed].[2]

In the mathematical formalism used, the observations have the form of finite binary strings, and the universal prior is a probability distribution over the set of finite binary strings[citation needed]. The prior is universal in theTuring-computability sense, i.e. no string has zero probability. It is not computable, but it can be approximated.[3]

Algorithmic probability deals with the following questions:[citation needed] Given a body of data about some phenomenon that we want to understand, how can we select the most probable hypothesis of how it was caused from among all possible hypotheses and how can we evaluate the different hypotheses? How can we predict future data and how can we measure the likelihood of that prediction being the right one?

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