Sacrificial Suicide

1. Woods of Sodomy and Blood

2. Tearing Your Heart Away (In Pleasure or Pain)

3. Whipping Mankind Into Submission

4. Kill me, but never die

5. Procreation Through Destruction (Summoning Chapters in Fire & Death)

Self-organization vs. entropy

"It would appear that, since isolated systems cannot decrease their entropy, only open systems can exhibit self-organization. However, a closed system can gain macroscopic order while increasing its overall entropy. Specifically, a few of the system's macroscopic degrees of freedom can become more ordered at the expense of microscopic disorder.

In many cases of biological self-assembly, for instance metabolism, the increasing organization of large molecules is more than compensated for by the increasing entropy of small molecules, especially water. At the level of a whole organism and over longer time scales, though, biological systems are open systems feeding from the environment and dumping waste into it."



Self-organization

Completely Random?

One of the main problems that we, as humans, the "intelligent" animals, have continuously developed throughout our change and evolution, through the interactions of the different networks available inside our brains, is the dimensional closed-mindededness, or the lack of ability to increase our range of processing the knowledge of different topics and levels of matters in the universe we're living in, and considering more facts about how everything works. And as it seems, this greatly affects the way in which we make life-changing decisions throughout our lives, therefore, there cannot be any question about its impact.

Humans, as another endless form of simple species living in an ordinary universe, in general, cannot leave the insignificant locality, and consider a more general totality (which can be assumed to be ever-expanding, and continuously happening).
Obviously, there have been changes in the lives of the modern generations, but the problem is still alive.

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Since most of the advances, and technologies, achieved in the past decades have been based on practices in complex and advanced mathematics, it is easier to model, study and analyse the way they have been affecting our behaviour, mind, and really the changes of the structures in our brains, during this time. It is easier to formulate a rational and logical pattern and concept as the reasons behind how we, humans, behave, decide and act in rather predictable ways, in most cases.

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When we learn, when we, the intelligent animals, save a memory, (and in other words, come to a judgmental or well-thoughtout conclusion about any type of incident), we create, change or suppress networks inside our heads.
Using a certain part of the brain is equal to having more electro-chemical reactions circulating, in various forms and shapes, (?) in that certain region. Better-kept networks perform better towards their purpose.

RE: A. Turing, and machine intelligence

If a machine is manufactured to implement a learning algorithm, and if it is equipped with enough memory, the machine will be able to increase its level of intelligence, and show intelligent behaviour as time goes by. Of course, the initial level of intelligence which it possesses can definitely be a contributing factor in this process. So, it is possible to implement different levels of intelligence, given that the algorithms for doing the implementation is known. It is also possible to implement various forms of intelligence (which might be inter- or correlated).

This can be proven by a closer analysis of the formation and evolution of the human intelligence, and therefore, the human brain, throughout the history.


Living is merely achieved through the process of computing the algorithms. As one might say, an inevitable outcome of a series of deterministic, yet complex, iterative cycles.

Fresh. Maybe not...

Most phenomena follow a 'scaled trend' in which they change form, and functionality, on different scales, through continuously-evolving processes. It is possible, and necessary, to find these different scales, and form different discrete sets and groups to model the behaviour of the phenomena.

The discrete part determines the coming steps through the help of the continuous methods and ways, as in a system with a chaotic/deterministic type of behaviour.
This could be shown by the endless, infinite and fractal structures some of the systems seem to be showing.

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The actual structure of the computer and telecommunication networks which make up the whole internet thesedays could probably have a fractal model, since it seems to be covering a very large, relatively close to infinite, surface.

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In processes which have a set of rules to be followed (so, basically any type of phenomena), and through which a goal is achieved, a set of time-varying algorithms train the system through a 'learning cycle' to evolve according to the book of rules.

NOTE: These rules can be almost to impossible to find in some cases.

Simple Examples:

Any type of sport. Natural selection and evolution. Any type of modern society.