Glossary for multi-inter-cross-disciplinary action

Glossary for multi-inter-cross-disciplinary action

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Picture of Nataliia Rzhevska VideoWiki


by Nataliia Rzhevska VideoWiki - Thursday, 3 September 2020, 1:28 PM

It is customary to work on achieving goals. To make a dream come true, you need to live it. Think, wake up with It, fall asleep with It, smile when for a moment It gets closer. 

A dream is something alive, as part of our soul, but from the outside world.

Co-dreaming is the unification of our souls for the sake of achieving the cherished dream - the well-being of the world. It is a unifying state of mind that inspires action, that is true, humane, inspirational ...

Dreaming alone is like talking to the Universe.

Co-dreaming is a state of our souls capable of initiating and inspiring to grandiose accomplishments.


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by Urska Transformation Lighthouse - Thursday, 3 September 2020, 5:10 PM

Heuristics (from the Greek word meaning to discover) are any approach to a problem solving or self-discovery that uses shortcuts to produce good-enough solutions given in a limited time frame or deadline. In other words, it employs a practical method that is not guaranteed to be optimal, perfect, or rational, but is nevertheless sufficient for reaching an immediate, short-term goal or approximation. Where finding an optimal solution is impossible or impractical, heuristic methods can be used to speed up the process of finding a satisfactory solution. We can say that heuristics are a flexibility technique for quick decisions, particularly when working with complex data.


Heuristics can be mental shortcuts that ease the cognitive load of making a decision. In simpler words, heuristics are conclusions we addopt from previous experiences we had with similar problems. We can use this approach of problem solving in human beings, machines and abstract issues. We usually use it if:

▲     we are having difficulty understanding a problem, we try drawing a picture.

▲     we can't find a solution, we try assuming that we have a solution and seeing what we can derive from that ("working backward").

▲     the problem is abstract, we try examining a concrete example.

▲     we try solving a more general problem first (the "inventor's paradox": the more ambitious plan may have more chances of success).

(from George Pólya's 1945 book, How to Solve It)

*more in the attached document