The tendency is a high-dimensional relationship

Connected, logical, well-structured

Difference leads to movement, which is the result of a tendency towards equilibrium

The correlation of orthogonal experiments is reflected by the extreme difference, and it has a certain similarity with the form of the network

Parallel connection provides multiple possibilities for proceeding, and series coupling is a certain possibility

Constructing a high-dimensional Venn diagram relationship, such as the relationship between non-a or b, is a general distribution, which can be coupled to a certain extent. The different selection criteria of Pen, Fun and Pavilion www.biquge.info make the expression different in a specific environment, and so on. Representation of probabilistic networks

The pattern of behavior emerges, i.e., the various distributions of cycles or intrinsics, the decomposition of the factors of events

Background information, a priori probability, such as the flattening of the star distribution on the star map

Visualization, a kind of abstraction, is like hierarchical processing, through the transformation of the form of data, this is a kind of network processing (like a chef's cooking), this network processing and the coupling of the original network data, may produce new data

Probabilistic selective expression of structures

Meta-analyses need to be granular. The larger the group, the more likely the interaction, so that the law of large numbers cannot be fully established, but it is too small and has a relatively large error

Comprehensive analysis to extract the impact of a particular factor, which is the underlying probability. Such as theirmeta-analysisrevealedthattheoverallriskoflungcanceramonglifelongnon-smokingwomenwas1. 24timeshigherwhentheirhusbandssmoked，asparedtothosewomenwhosehusbandsdidnotsmoke。

Nifedipine first-generation calcium antagonists have long been recognized as a safe and effective antihypertensive agent. It is even popularized for acute myocardial infarction, unstable angina pectoris, and heart failure. Analyses of multiple randomized controlled trials have shown that patients are at risk of myocardial infarction and death when used in high doses, and the higher the dose, the more obvious the increased risk.

It's a holistic approach, the coupling of the network, the selection of appropriate metrics (sometimes either eigenlevel or low quality)

Large-sample randomized controls may sacrifice a certain amount of heterogeneity by placing too much emphasis on randomization and large samples, when in fact any individual is already sufficiently layered with coupling. It can only be said that this determines a certain probability as a whole. The law of large numbers is true for a small number of factors in a relatively large range, but when a large number of factors are involved, it will fail, and there will be too much coupling, and it tends to converge into a hierarchy. It can't be linear, the theory is okay but the reality is curvilinear

Conservation is the coupling of various levels: quantity and effect. Like Holkief's current law. A certain constant quantity is required in the high-dimensional structure

Medical biochips, multidisciplinary cross-integration: biology, medicine, computers, programming, certain micro-integrated circuits, based on the structure of the biological brain formation (regarded as a low-dimensional slice of the neural network), like the collagen skeleton of the heart of the cell input recombination to form organs, so that biological logic elements can be established, using multi-level (DNA-RNA-P) operations; The self-programming of cells, intelligent machines originate from multi-level competition and selective expression, and can be continuously advanced according to certain algorithms; Intelligence is the mode of finding solutions to problems, which is derived from certain basic rules (free competition of the economy and society), based on the exchange of information, forming different levels

Data analysis is based on low-dimensional data, and continuous traversal makes the high-dimensional structure visible, so that certain eigens, i.e., solutions to problems, can be extracted. The network formed by data, the law is the intrinsic

Choose a certain intrinsic, i.e., the problem, which is a kind of collapse of the network; The decomposition of the problem is also a kind of eigen-extraction, and different indicators and influencing factors are the central nodes. The hierarchical decomposition is deepened until the quantum level can be calculated

Similarity of Intelligent Constructs and Language Constructs (LISP Language Manufacturing Expert System)

Introduction, introduction, syntax (sequence patterns, relatively independent levels), construction of simple languages (quantum matching of words, etc. probability networks), construction of phrase structures, the purpose of language is the transformation of information, the diffusion and integration of semantic networks, and the collapse of networks caused by energy minimization

A formulaic language that constructs logic can be used to build Bayesian networks using databases, and probabilities can change dynamically.

Like fuzzy logic, the construction of a whole network cannot be observed as a whole;

Each element is a network that can diffuse into a network whose connections become high-dimensional, and the final collapse path is selective, which can be described using a topology;

Grammar is a certain combination, a conventional pattern, because language is the use of statistics, especially Bayesian formulas, is the path collapse of probability networks

Language is a certain sequence, and the goal is to interpret the meaning of the ATCG of the genome, so we will construct a similar set of languages, starting from the primitives at the quantum level, and constantly construct high-dimensional structures: genes, non-coding structures, and finally combine with the biological network of the physical world

The collapse of the construction probability is a logical operation, and the overall modularity is a certain program

Language can be represented as the corresponding high-dimensional structure correspondence at the quantum level, but it is a multi-level correspondence, and ultimately it is a selective expression, and its path is the result of the collapse of the eigen, probability network, which is a relatively stable energy level

The word polysemy and multi-word meaning are special nodes of the network, which are not only the lowest energy, but also different degrees of expression

The syntax rules are first-order modules based on quantum sequences, and the coupling of different levels, i.e., different orders, makes the whole network function normally

Language itself is a use of big data

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