It requires a network formed by the coupling of different forces, borders, and flow and potential are the criteria for evaluation. Pen, fun, pavilion www. biquge。 info

The network is a system science, which is multi-dimensional: space-time, and can only be understood by a certain matrix if the derivative is continuously reduced

The nodes of the network are the material foundation, and the reality is more important than the relationship, that is, the connection mode of the nodes. Finally, a pattern can emerge through a large-scale sequence to form a certain pattern. At the same time, reality is a multi-level and multi-modal coupling, which is the result of Nash equilibrium. This is a decomposition of the Taylor series, where the coefficients conform to the binomial distribution law.

Irreversibility is the local derivation of the global reversible background, which determines the direction, thus forming a coupled network at the global level

Entropy increase is a common phenomenon, and the change in resistance is in accordance with the Nash equilibrium, which is also the Taylor series decomposition, which only makes sense with the first-order derivative.

The dynamics of network nodes can refer to various laws of physics

Evolution is the result of the combinatorial collapse of the network, with a distribution of good and bad probabilities, but the half-life of the favorable change is longer.

Time in reality is irreversible, because the chaos effect is the result of the development of the network, i.e., the probability collapses into paths. In order to derive the original network according to the eigen, like an integral solution, it is necessary to determine the constant c. Therefore in the network is not able to invert in time

Everything has a source. Everything counts.

The past is not yet over, the future has long arrived.

The equilibrium state is the state/eigen, which corresponds to the maximum value of the probability

The uncertainty of the network, the time dimension is the process of combination and annealing, the periodicity and oscillation of the network;

Force is a measure of higher-order conductors, and motion is the probability of collapse (exceeding the threshold)

The entropy exchange of a system is a connection of nodes

The structure of the network exists, the topological change of the network is evolution, and its transition is a hierarchical competitive game.

The description language of the network is statistical, and the eigens are distribution functions

Hierarchical coupling, in the form of differential equations. The relationship between the first order and the higher order is more intrinsic

The conserved quantity of the network

The traversal of dimensions takes into account changes in sequences, which correlates with the sequence processing of Fourier analysis: sin'=cos, 1/0

The movement of the network is a traversal

The similarity of the network to the wave function

Functions and operators are different levels of overall operations on the network

As long as the large-scale data effect is accumulated, it must be able to show the law at a certain level

The achievement of equilibrium and the tendency to increase entropy are the final result of an ideal situation, which requires time and space, i.e., there is a certain lag

False matching, where the probability is calculated, i.e., the result of the disease detection

A disease is a combination of certain sequences

Special to special means that the matching degree of the sequence exceeds a certain threshold

The contradiction of the high-dimensional structure is self-consistent

Distribution as probability, distribution function and ordinality (normal distribution): dynamic equilibrium (contradictory form), gradient, reversible process,

The expression of the network determines different properties, and the transition of various states is related to the energy like money, and the coupling of various levels (the high-dimensional structure of the opposite of the extremes of things)

Hierarchical traversal is a change in overall probability, but for us, a meaningful change is like a favorable mutation in nature

The achievement of equilibrium is an inevitable trend, and the actual realization may be to reach the original equilibrium state with more losses (e.g., gray income)

Linear Taylor series decomposition

Correlation of the thermodynamic properties of the network with the topology

The memory of the network needs to be repetitively trained, which can eventually cause the combination to collapse

The sequence coupling of the independent modules of the network enables disease coupling

Network connectivity and speed

Logic is a match between sequences

The overall impact of the environment, such as obesity due to digestion (larger context, 100,000 years in time and space), like infectious diseases, etc. (spatial context), medical history (time), habits

Markers are the essence of the whole

Precise matching, targeting, sequence matching of the immune system

Treating disease with disease is the result of a matching and complementary sequence of diseases

Different causes can derive different manifestations (e.g., renal cell carcinoma causes symptoms of heart failure, fever, mood swings, etc.), and the use of certain disease treatments is actually a sequence matching, using its derivative effects to offset the impact of the original disease (e.g., malaria can eliminate hypothermia symptoms)

Using disease as a means of detection requires a certain understanding of the sequence

Diagnosis is the matching of multi-level sequences, according to various conditions to determine the priority possibility, the doctor's network obtained according to the diffusion of different feature points is a combination, experience is a kind of probability collapse, may collapse into the complex system of the network can collapse into eigenpaths in different directions, this is the empirical logical algebra operation (logical short-form can be diffused into a high-dimensional sequence), and finally we need to choose a certain path to sequence matching, that is, symptomatic treatment makes the network restore the homeostasis of the network

Hypothesis: The multi-local optimal is the diffusion and convergence of the global optimal (eigen).

Tumors are network effects, multi-layered (from genes to cells to tissues to organs to systems)

Known basic symptoms are treated as multi-layered high-dimensional structures, and a scoring matrix is used to measure sequence matching

The search for correlation, which is the basis of matching: 1 glandular secretion associated with mood, such as ****

The connectivity nature of the network, which is related to the average distance of the network topology, while the distance that nodes can connect is limited, and the network with high connectivity makes the world collapse into a high-dimensional structure. From the change in the structure of the connected network, which is the feedback mechanism of the network

The peculiarity of sequence matching is related to the length of the sequence, i.e., the convergence of the hidden Markov model

The network is a system, which can be divided into different modules, with information as the language, and the basic motion properties of the topological shape of the network form a cycle, and can have a certain feedback mechanism, which eventually forms a certain cycle. At the same time, it can be assured that the network structure is dissipative and requires input from the outside world. The form of communication is to use physical resonance to achieve collaborative communication between modules. Movement is like a mutation in nature, and there is also natural selection that puts pressure on the path of the network and eventually collapses. The formation of hierarchies is not only the embodiment of the trend of convergence, but also the division of a certain boundary by chaos (it cannot be infinitely iterative, that is, the recursion of mathematics has its linear scope of application). The relationship between the modules of the network is not only a certain similarity, but also a local and global similarity, that is, fractals, which are the basis of holography. Combined with various physical statistics, the number of nodes in the network = mass = density = pressure, thus reflecting various distributions.

Starting from a certain base point, such as the cell is to biology and the atom is to physics, the base point of the network is the two ends of the relationship

The so-called dialectical thinking is to carry out certain eigenvalues of a complex network from different perspectives

Integrity: The various properties of the network are emerging, that is, a certain number of levels are required to combine the substrate, and the whole expresses a certain nature according to a certain choice of the environment, which is the embodiment that the whole is greater than the sum of the parts.

Openness: The network needs to interact with the outside world constantly.

Hierarchical: We can decompose the overall network into different levels, which is based on the nature of a certain base, and the layers of different sizes can have a certain degree of competition, which can form the optimal ratio that is most suitable for the current environment according to the environment, that is, equilibrium. This is the basis for the decomposition of the network and at the same time for the self-organization of the various feedback mechanisms.

Stability: The final equilibrium formed by the network is steady-state, which is the result of the general tendency of the hierarchy to resist the increase in entropy, which needs to converge so that the marginal effect reaches 0. At this time, there can be different proportions at different levels

Mutation: The basic nature of the nodes of the network, which is the source of the overall nature of the network

The hierarchy of networks is the focus of our research, and the sequence of its decomposition and its matching are based on the assumption of structure-function similarity

The substitutability of the path of the network, which is the embodiment of the nature of the average distance of the network (six degrees apart), the various changes in economics are constant in the ideal situation, but the more steps, the more losses, and the larger the hierarchy is needed to accommodate the changes,

The nonlinearity of the network is not only chaotic, but also multilinear combination and collapse (natural selection)

The observation of causality is actually a confirmation of the short path of the network, and the language of the network is correlation, i.e., probability.

The existence of the organization lies in the space left by the disappearance of the unorganized that allows it to develop

Chapter 1: The Fountainhead

Chapter 2: Results

Chapter 3: Principles

Chapter 4: Laws

Zhou Yi described a certain pattern, which is the operation of sequences, through the confirmation of basic elements and continuous combination (like the three primary colors of physics), a certain system can be constructed, due to the infinite nature of this combination, the final collapse that is, the result of survival is relatively universal.

The physical hierarchy is like a hexagram, there are certain internal constraints, and at the same time, they may affect the outside

Contradictions are the result of the selective expression of the network

If the network is not observed, it cannot be grasped, but once it is observed, only a part of it can be observed, and we cannot grasp the network as a whole. Referring to Schrödinger's wave function, it is grasped as a whole, which is consistent with the connotation of Lao Tzu's Tao: metaphysics (the form without form, the image without image, can only be grasped as a whole), reality (when the selective expression of the network can be observed, it is part of the network, like the tip of the iceberg), and kinesiology (the continuous formation and selective expression of combinations). At the same time, the equivalence of Schrödinger's wave dynamics and Heisenberg's matrix mechanics makes us more convinced that the use of matrix representations for local networks is reasonable.

It's an inertia: once a meaningful network pattern is formed, the more economical option for latecomers is to follow a successful path, which is the theory that new nodes in Barabasil tend to connect to the central node with high connectivity. This may partly explain the Matthew effect, in which the rich get richer and the poor get poorer. Of course, this is a general trend, due to the formation of various resistances in reality, the level converges (without convergence, it will be difficult to survive)

Information is a certain sequence 10010001, which is a measure of uncertainty. The network is in an environment of uncertainty that only a few nodes can obtain the maximum benefits

Equilibrium is the trend, but the combination of multiple equilibrium can only form a steady state at a sufficiently large scale, which we can observe by adjustment. But on a general scale, we can only think of the combination of multiple equilibrium as unbalanced. Reversibility is also an ideal state, but the combination of multiple equilibrium makes the properties expressed at a certain scale irreversible.

The continuous output of the body's network such as alopecia and dandruff is the nature of the network, which is the node of high connectivity within it, that is, the growth of stem cells maintains the overall operation of the network, and when a certain threshold is exceeded, nodes with a marginal effect of less than 0 are eliminated

Any purpose is systematic work, such as opening up sources and reducing expenditures

The network is a collection of big data, and the emergence of various modes and the division of various levels make a connection between networks, and different standards mean different paths. The use of big data makes the granularity of a single target continuously reduced, such as e, so that the efficiency increases.

Exact match

There is no permanent distinction between strong and weak in the hierarchical game, and it is regarded as resource allocation

The level of interests of the game, if it is extremely rational, that is, the convergence of the level, can reach a balance. As for cooperation, that's the ideal state, it's high-energy, that is, low-probability

Since the achievement of equilibrium is the optimal choice of the individual, the resulting hierarchical convergence makes the resources unable to circulate. Therefore, the emergence of organizations is the solution to this dilemma

The overall hierarchical ratio must be maintained at a certain level in order to maintain the network structure

Multi-dimensional game uses the multi-dimensional structure of the network to obtain multi-dimensional benefits, so as to achieve high-dimensional equilibrium

Mixed game strategy, probabilistic behavior

Donash equilibrium, in which the final choice is probabilistic

Gambling is information-based

Diminishing marginal utility determines the convergence of the hierarchy

;