Break the timeline, the space-time view of the network

The network is a dynamic system, with a mechanism similar to that of living organisms (natural selection paths, hierarchical similarities), and can have a certain evolutionary mechanism, and its movement is according to a certain logic (sequence matching of the network). And because of the competition of its levels www.biquge.info the network can build the communication of different networks, which is the compatibility of the network, and can be regarded as the coupling of distribution functions.

The evolution of the network is like a spiral, which is a change in the high-dimensional structure, and the formation of each cycle is an energy level. The network is a constant cycle

The evolution of the network is like the construction of Euclidean geometric systems, and it is possible to build a large system based on a few principles. From this point of view, the Internet is nothing more than a tautology-like logical description, which is nothing more than the revelation of knowledge that already exists but is unknown to mankind, and focuses on the past. However, the Internet is more inclined to explore the unknown, constantly expanding its territory and expanding the boundaries of human understanding. At the same time, it can also continuously build internal relationships to form a high-dimensional coupling structure.

The existence of a network is one with the mechanism by which it evolved, and we are able to describe it separately only because we deconstruct the network. Self-organization and self-creation are fundamental properties of networks.

For history, it is the path of the probability collapse of the network, and the future is based on these paths, which we call the inertia of history. But this is also probabilistic, and we can only say that there is a relatively high probability that these traditions will continue. Memory, on the other hand, is the surface of this large system, like fluctuations, and finally becomes the path of the network according to a certain probability. (e.g., the impact of 911). And it is precisely the nature of memory that allows us to have a concept of time, and in the same way we can have concepts of other dimensions

The overall evolution and partial differentiation of the network: like the division of labor, the system becomes more and more refined, and the unit output of different modules is higher, which is what we call evolution. At the same time, according to the equivalent exchange revealed by the law of conservation, any enhancement comes at the cost of a certain weakening, and the module of the network is the dependence on other modules that increases with evolution (Wang Dongyue's theory of decreasing compensation)

Parallel universes and the principle of anthropic, multi-historical decoherence, probability collapse

From the point of view of the Internet, time is one, and the concept of the past, present, and future that we divide is based on relativity, which is an illusion. Therefore, it is not so sci-fi to change the past now, but the movement of the network in different dimensions, in probability, which is what we can observe is macroscopic things, which requires a lot of probability collapse to do. The quantum delay experiment of modern quantum mechanics (we can't change the occurrence of history, fate cannot be resisted, but the way of its occurrence can be changed, such as a person's death is inevitable, but the way of death can change back and forth) due to its quantum nature, that is, the probability required is relatively easy to observe, there will be a strange phenomenon that particles arrive at their destination before launching. If we understand it from the point of view of the network (pure personal nonsense): motion is a momentary traversal, particles are decomposed into probabilities to explore possible paths, and finally our observations based on certain concepts make the probability collapse into a more certain path, but this is only meaningful to us.

Interaction is the role of the various levels of the network, and time is only a dimension of understanding. Each level can be understood as a reversible reaction, and equilibrium is the relative ratio of the initial state to the final state, and this ratio is a certain direction. This direction is the direction of time, if we put the present and the future at opposite ends of the scale. On a larger scale, the path that the network will express is a certain tendency, which we can understand as the flow of time. Therefore, the change of the time dimension is reversible, but this only exists in theory, and in reality we can observe irreversible processes. The scale of change that we believe in seeing is believing is too large to be achievable, and changes at the quantum level seem to make little sense. However, the so-called irreversibility is actually a reversible process with a relatively definite direction, and there is a small probability that it may be reversed, and this kind of resistance change is widespread.

The probability of the network collapsing into a path is a fact that we can observe, but this is only a path with a relatively high probability, and there are other paths with a small probability, as for this, it can only be seen in the parallel space of the multiverse. The influence of this timeline is based on probability, so the emergence of patterns is also a necessity. There's a basic assumption here: path dependence

XX is subordinate to YY as a more definite path of knowledge, but the high-dimensional structure of the network determines that its relationship can be combined with different modes, which is what we generally think of as a paradox, and it can also be regarded as dialectical thinking. Anyway, the exact knowledge is the structure of the selective expression of the network, and this knowledge can be built into a specific system, of course, there are two theories, but large-scale combination attempts will definitely be able to combine meaningful patterns.

The evolution of the network is not only a need, but also an instinct, a need to maintain its existence. This is like an entropy trend, never satisfied.

Replication, or reproduction, is an inevitable trend after the emergence of a certain meaningful pattern, just as the dominant organism in nature occupies the resources left behind by the dead creature and becomes the new ruler.

The theoretical framework of network evolution:1 The combination of different levels is the basic driving force 2 Meaningful combinations form patterns 3 A certain pattern is the result of probability collapse and can be used as a historical continuation 4 The dependence of later development on the original path is relatively large, Bayesian formula 5 Similarity at levels, holographic 6 The combination of modules is a high-dimensional combination (principle) 7 Emerge using the nature of statistics to continuously correct the sequence and improve the degree of differentiation and dependence 8 Self-organization and self-creation are based on the original basis (e.g., all cells are derived from the original cells) 9 Everything already existsNow it is just the formation of its expression10 feedback and other regulatory mechanisms are also the result of patterning

My exploration of the essence of network structure is not blindly revered for the status of certainty, but more as an expression of probability, (their relationship is like the conscious and subconscious)

The general logic of pattern formation: the coupling of distribution functions makes the appearance of a particular breakthrough, and then repeats according to the information of this pattern, that is, multiplication, becoming a new basis (standing on the shoulders of giants)

Everything that exists now is an elimination of past competitors (e.g. I outperformed the existence of hundreds of millions of other sperm), so we must respect them with great reverence. Of course, there are so many such unique existences that we are convinced that all existence must be unique, then it is commonplace to take them lightly.

The change of the network has not only the continuous Darwinian accumulation of variation, but also the expression of the accumulation of discrete invisible probabilities (which can be regarded as the transition of energy levels), that is, the burst, which is the emergent nature of the network. These outbursts are discrete and occur with a smaller probability, but this is the result of small probabilities based on continuous accumulation

There is competition between the levels of the network, and then there is a certain trade-off, and eventually a certain equilibrium will be formed, which is like an entropy increasing trend. However, this is idealized, because the network is a high-dimensional structure, which means that it is impossible to achieve multi-level equilibrium. Although this is determined by the principle of energy minimization and hierarchical convergence, the expression form of the network is often this intrinsically discrete state. Due to the fierce internal competition, the network has great adaptability to environmental changes.

The selective expression of the network means a small probability of expression on a large base, that is, the emergence of any phenomenon is supported by a large background. Therefore, reserves are necessary.

Triangular and inverted triangles: Increasing complexity and dependence on the outside world, but decreasing in number.

The hierarchical modularity makes it possible to integrate complex systems, which increases the stability of the network's structure and allows for random combinations of different modules.

The additiveness of the hierarchy, which increases the possibility of combinatorship, can increase the probability of the emergence of new properties of complex systems. The macro level can be understood in terms of the structure of a pyramid, but we know that it is like a multi-level coupled structure of a network, because the changes between the levels are compatible with each other.

The sequence of combinations has the nature of harmony, and this sense of harmony, or beauty, is caused by the fact that the combination is a meaningful pattern.

Each level of the network is characterized by oscillations, which are the result of a series of interactions between the layers. This combination is a kind of language, and the synthesis of specific module expressions can express stable properties, because if specific module expressions are not able to express stable properties, they will die, leaving room for orderly combinations to survive and develop. This oscillation is also the process of regulating probability, and the nature of the body network is a meaningful whole formed by the combination of DNA, RNA, protein, etc., which can be divided into different modules to understand.

The communication of modules, i.e. the propagation of combinatorial patterns: the diffusion of influences, the local marginal benefit greater than 0 due to variation, will force the surrounding network to make certain changes to adapt. The impact of the invention of new technologies such as the steam engine on the world is the integration of the network

The high-probability concentration area of the combination of modules can have conceptual boundaries, and the limits are also boundaries

Syntax, patterns of patterns

The result of the competition of the local optimal is to achieve a certain equilibrium: the local sub-optimal is exchanged for the overall optimal (relative case)

The cyclical cycle is the reconstruction of the combination, which constantly accommodates constraints, expands boundaries, and forms new structures

Power-law distribution of the network, uneven distribution

Smooth enough communication provides the infinity of combinations, and it is not surprising that the gradual assembly of logic circuits into a computer. A pattern of exponentially exponentially growing combinations is bound to emerge, no matter how unlikely it is. It is certain that, once present, it is equivalent to creating an area of high concentration, which can cause the effect to spread due to the potential difference. And the information can be copied

The metabolism of the network is achieved through combinations

The link of the network makes the influence spread, and the smaller the average distance, the faster the spread in the network. Refer to today's information dissemination. In order to achieve local equilibrium, the change spreads and becomes a dynamic change in the whole

The purpose is the result of manifestation, not the search for the purpose, which makes the network purposeful.

The above whole (such as the human body, the computer) is an encapsulated system, that is, a black box, through the network theory constructed according to real experience, from the fictional assumption of its congenitally correct network theory into the specific situation, and constantly modified to make the theory conform to reality, when the theory and reality match to a certain extent, we have a certain confidence to use this theory to explain or even predict reality. Commonality or similarity is what we emphasize, the similarity between levels, and the similarity between levels and the whole, just like the analytic theory of mathematics. But more important is integration, and the inclusiveness of the network can unify many systems.

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