CN114049965A - Cellular automaton-based self-body co-situation calculation implementation method - Google Patents
Cellular automaton-based self-body co-situation calculation implementation method Download PDFInfo
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
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- G—PHYSICS
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- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/50—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for simulation or modelling of medical disorders
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Abstract
The invention discloses a method for realizing self-body co-emotion calculation based on a cellular automaton, which comprises the steps of firstly, making rule logic of self-body cells, secondly, designing a functional module, thirdly, realizing a rule program, fourthly, simulating a result and analyzing; the invention simulates the whole complex and globally continuous psychological development system process by converting the nonlinear relation between the psychology and the inner structural elements into an executable program by using a simple, local and regular iteration method, quantitatively describes the self development process by using the logicality and systematicness of a cellular automata, can quickly help a psychological consultant to evaluate and classify the level and type of self development of a visitor, and provides an effective and usable theoretical model for a psychological health consultation auxiliary computer system.
Description
Technical Field
The invention relates to the technical field of psychology, in particular to a cellular automaton-based self-body co-situation calculation implementation method.
Background
The human co-emotion is to use the existing emotion experience of the human to understand certain emotion experience of the other side, so that the resonance of the emotion experience of the other side is achieved, therefore, in the training of a psychological consultant, the method for culturing the co-emotion ability is to actually gradually accumulate the inherent emotion experience, and when the emotional experience of the psychological consultant is enough, the human co-emotion can be more leisurely and effectively performed in the face of the emotion test which is very needed to be understood by a visitor;
the existing theory is a qualitative description of the autogenesis process, is not detailed, needs a psychological consultant to collect a large amount of emotional experiences after long-term work, and needs to spend a long time of deep communication for visiting patients to evaluate and classify the level and type of the autogenesis, so the invention provides an autogenesis situation calculation implementation method based on cellular automata to solve the problems in the prior art.
Disclosure of Invention
In view of the above problems, the present invention is directed to a cellular automata-based self-situation-sharing calculation implementation method, which quantitatively describes a self-development process by using the logicality and systematicness of cellular automata, can rapidly help a psychological consultant to evaluate and classify the self-development level and type of a visitor, and provides an effective and usable theoretical model for a psychological health consultation assistant computer system.
In order to realize the purpose of the invention, the invention is realized by the following technical scheme: an autologous co-estrus calculation implementation method based on cellular automata comprises the following steps:
step one, making rule logic of self-body cells, describing an emotion memory data unit under a self-body psychology theory visual angle by using an algorithm of a cellular automata, simulating and simulating by using a method of the cellular automata, and making the rule logic of the self-body cells;
designing a functional module, selecting Netlogo software as an implementation language of the self-body cell automaton, and coding specific implementation of eight functions of exaggerating self-body cells, weak self-body cells, birth wound ratio, development area, nutrition of two functions, proportion of power-assisted nutrition and resistance nutrition, development type and development process;
step three, realizing a rule program, namely realizing the rule of the autologous cells in a program form through two version rule logic flows;
and step four, simulation results and analysis, namely changing the input proportional parameters of birth wound ratio, nutrition density, assisted nutrition and resistance nutrition in software to simulate to obtain five simulation results of different development types, and analyzing the obtained simulation results.
The further improvement lies in that: firstly, setting the proportion of the exaggerated autologous cells and the weak autologous cells at the moment of birth when the autologous cells are defined by the rule logic in the step one;
then, self-nutrition given to children by parents and environment is taken as an emotional memory data unit with positive promotion effect in the co-emotional calculation to be obtained and stored;
then, with the gradual change, when the autologous cells enter the middle area of the coordinate axis, the autologous cells are considered to be mature cells;
and finally, adjusting the weight of the functional variable of the autotrophy by stages according to the description of the autotrophy psychology on the phenomenon of physical development, wherein the functional variable is divided into three stages, namely an oral desire stage, an anal desire stage and a Russian stage.
The further improvement lies in that: the autotrophy comprises mircophoton and totipotent guest functions, wherein the effective mircophoton and totipotent guest functions are defined as power-assisted nutrition, and the distorted mircophoton and totipotent guest functions are defined as resistance nutrition; the coordinate axis area is divided into seven blocks, the left side and the right side respectively correspond to the desire period, the anal desire period and the Russian period of the exaggeration autogenesis process and the weakness autogenesis process, and the middle part corresponds to the mature autogeny.
The further improvement lies in that: three stages of the functional variables of the autotrophy
The ratio of the psychotrophy corresponding to the specular function in the aphrodisiac stage to the psychotrophy corresponding to the aphrodisiac function of the autologous object is 7: 3;
the ratio of the psychotrophy corresponding to the mirror mapping function to the psychotrophy corresponding to the aphrodisiac function of the autologous object in the anal desire period is 5: 5;
the ratio of the psychotrophy corresponding to the mirror mapping function in the Russian stage to the psychotrophy corresponding to the body guest empathetic function is 3: 7.
The further improvement lies in that: the logic flow of the two version rules in the third step comprises
1) After the self-body cells are initialized, searching for the maximum nutrition value in the neighboring tiles, absorbing the maximum nutrition value to become self energy, then developing to the maturation stage in a straight line, and recycling the process until the maturation;
2) after the self-body cells are initialized, the maximum value of nutrition is searched in the initial energy radius, the movement range of the cells is expanded outwards all the time, the self-energy is consumed to move to the position of the nutrition, the maximum value of the nutrition is absorbed to become the self-energy, and the process is recycled until the cells are mature.
The further improvement lies in that: the five different development types in the fourth step comprise a self-love type, a self-inferior type, a melancholy type, an empty type and a trauma anxiety type.
The further improvement lies in that: in the self-attaching simulation result, the birth wound ratio is moderate, the nutrition density of the vitreoscope is low, the nutrition density of the totipotent autologous object is moderate, the ratio of the assisted nutrition and the resistance nutrition of the vitreoscope is low, and the totipotent autologous object is full-assisted nutrition;
in an autogenous simulation result, the birth wound ratio is moderate, the specular nutrition density is low, the nutrition density of the totipotent autologous object is moderate, the ratio of the specular assisted nutrition to the resistance nutrition is high, and the ratio of the specular assisted nutrition to the resistance nutrition is moderate;
the birth wound ratio of the melancholy simulation result is moderate, the nutrition density of the vitriol is low, the nutrition density of the totipotent autologous object is low, the ratio of the assisted nutrition and the resistant nutrition of the vitriol is high, and the ratio of the assisted nutrition and the resistant nutrition of the totipotent autologous object is low;
in the empty-deficiency type simulation result, the birth wound ratio is moderate, the nutrition density of the ametropia is moderate, the nutrition density of the omnipotent autologous object empathetic is low, the proportion of the ametropia and the resistance nutrition of the ametropia is moderate, and the proportion of the ametropia and the resistance nutrition of the omnipotent autologous object empathetic is low;
the simulation result of the traumatic anxiety type has low birth trauma ratio, moderate nutrition density of the vitreoscope, moderate nutrition density of the totipotent autologous object, moderate proportion of the assisted nutrition and the resistant nutrition of the vitreoscope, and moderate proportion of the assisted nutrition and the resistant nutrition of the totipotent autologous object.
The invention has the beneficial effects that: the invention simulates the whole complex and globally continuous psychological development system process by converting the nonlinear relation between the psychology and the inner structural elements into an executable program by using a simple, local and regular iteration method, quantitatively describes the self development process by using the logicality and systematicness of a cellular automata, can quickly help a psychological consultant to evaluate and classify the level and type of self development of a visitor, and provides an effective and usable theoretical model for a psychological health consultation auxiliary computer system.
Drawings
FIG. 1 is a flow chart of the steps of example 1 of the present invention.
FIG. 2 is a schematic view of the self-structure of the present invention.
FIG. 3 is a diagram showing the construction of the cellular automata according to the present invention.
Fig. 4 is a flowchart of version one rule in step three of embodiment 1 of the present invention.
Fig. 5 is a flowchart of the version two rule in step three of embodiment 1 of the present invention.
Detailed Description
In order to further understand the present invention, the following detailed description will be made with reference to the following examples, which are only used for explaining the present invention and are not to be construed as limiting the scope of the present invention.
Example 1
As shown in fig. 1, 2, 3, 4, and 5, the embodiment provides an autologous mutual information calculation implementation method based on a cellular automaton, which includes the following steps:
step one, formulating rule logic of autologous cells, describing an emotion memory data unit under an autologous psychological theory view by using an algorithm of a cellular automata, simulating and simulating by using a method of the cellular automata, formulating the rule logic of the autologous cells, and firstly setting the proportion of the exaggerated autologous cells and the weak autologous cells at the moment of birth when the rule logic of the autologous cells is defined;
then, self-nutrition given to children by parents and the environment is taken as an emotional memory data unit with positive promotion effect in the co-emotional calculation to be obtained and stored, wherein the self-nutrition comprises mircobra and totipotent object functions, wherein the effective mircobra and totipotent object functions are defined as power-assisted nutrition, and the distorted mircobra and totipotent object functions are defined as resistance nutrition; the coordinate axis area is divided into seven blocks, the left side and the right side of the coordinate axis area respectively correspond to the desire period, the anal desire period and the Russian period of the exaggeration autologous development process and the weak autologous development process, and the middle part of the coordinate axis area corresponds to the mature autologous;
then, with the gradual change, when the autologous cells enter the middle area of the coordinate axis, the autologous cells are considered to be mature cells;
finally, adjusting the weight of the functional variable of the autotrophy by stages according to the description of the autotrophy on the phenomenon of physical development, and dividing the functional variable into three stages of an oral desire stage, an anal desire stage and a Russian stage, wherein the ratio of the psychotrophy corresponding to the mirror mapping function in the oral desire stage to the psychotrophy corresponding to the autotroph aphroditic function is 7: 3;
the ratio of the psychotrophy corresponding to the mirror mapping function to the psychotrophy corresponding to the aphrodisiac function of the autologous object in the anal desire period is 5: 5;
the ratio of the psychotrophy corresponding to the mirror mapping function in the Russian stage to the psychotrophy corresponding to the autologous guest emphasising function is 3: 7;
designing a functional module, selecting Netlogo software as an implementation language of the self-body cell automaton, and coding specific implementation of eight functions of exaggerating self-body cells, weak self-body cells, birth wound ratio, development area, nutrition of two functions, proportion of power-assisted nutrition and resistance nutrition, development type and development process;
step three, realizing a regular program, namely realizing the self-cellular rule in a program form through two version rule logic flows, wherein the method comprises the steps of searching a nutrition maximum value in a neighboring tile after initializing the self-cellular, absorbing the nutrition maximum value to become self energy, then developing the self-cellular rule in a linear way to a maturation stage, and then recycling the process until the self-cellular rule is mature, wherein the flows are shown in the attached figure 4 of the specification;
secondly, after initializing autologous cells, searching a nutrition maximum value in the initial energy radius, expanding the motion range of the cells outwards all the time, moving to the position of nutrition by consuming self energy, absorbing the nutrition maximum value to become self energy, and recycling the process until the cells are mature, wherein the process is shown as the attached figure 5 in the specification;
step four, simulation results and analysis, namely changing the input proportional parameters of birth wound ratio, nutrition density, assisted nutrition and resistance nutrition in software to simulate to obtain simulation results of five different development types, namely, a love type, an inferior type, a melancholy type, a vacuity type and a wound anxiety type, and analyzing the obtained simulation results;
the birth wound ratio in the self-attaching simulation result is moderate, the nutrition density of the vitreoscope is low, the nutrition density of the totipotent autologous object is moderate, the ratio of the assisted nutrition and the resistance nutrition of the vitreoscope is low, and the totipotent autologous object is full-assisted nutrition;
in an autogenous simulation result, the birth wound ratio is moderate, the specular nutrition density is low, the nutrition density of the totipotent autologous object is moderate, the ratio of the specular assisted nutrition to the resistance nutrition is high, and the ratio of the specular assisted nutrition to the resistance nutrition is moderate;
the birth wound ratio of the melancholy simulation result is moderate, the nutrition density of the vitriol is low, the nutrition density of the totipotent autologous object is low, the ratio of the assisted nutrition and the resistant nutrition of the vitriol is high, and the ratio of the assisted nutrition and the resistant nutrition of the totipotent autologous object is low;
in the empty-deficiency type simulation result, the birth wound ratio is moderate, the nutrition density of the ametropia is moderate, the nutrition density of the omnipotent autologous object empathetic is low, the proportion of the ametropia and the resistance nutrition of the ametropia is moderate, and the proportion of the ametropia and the resistance nutrition of the omnipotent autologous object empathetic is low;
the simulation result of the traumatic anxiety type has low birth trauma ratio, moderate nutrition density of the vitreoscope, moderate nutrition density of the totipotent autologous object, moderate proportion of the assisted nutrition and the resistant nutrition of the vitreoscope, and moderate proportion of the assisted nutrition and the resistant nutrition of the totipotent autologous object.
Example 2
The embodiment provides an autonomy calculation implementation method based on cellular automata, which is used for carrying out experimental verification on visitors in practical application, and defines the development as six types, namely a self-amounting type, an self-evaluating type, a birth wound type, a depression type, an empty type and a normal development type, and respectively corresponds to A, B, C, D, E, F letter output display, and the results are shown in the following table.
As can be seen from the table, the consensus calculations presented herein are considered by the visitor to be more and very consistent. The experimental result shows the correctness and the effectiveness of the calculation model rule.
The foregoing illustrates and describes the principles, general features, and advantages of the present invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (7)
1. A cellular automaton-based self-body co-situation calculation implementation method is characterized by comprising the following steps:
step one, making rule logic of self-body cells, describing an emotion memory data unit under a self-body psychology theory visual angle by using an algorithm of a cellular automata, simulating and simulating by using a method of the cellular automata, and making the rule logic of the self-body cells;
designing a functional module, selecting Netlogo software as an implementation language of the self-body cell automaton, and coding specific implementation of eight functions of exaggerating self-body cells, weak self-body cells, birth wound ratio, development area, nutrition of two functions, proportion of power-assisted nutrition and resistance nutrition, development type and development process;
step three, realizing a rule program, namely realizing the rule of the autologous cells in a program form through two version rule logic flows;
and step four, simulation results and analysis, namely changing the input proportional parameters of birth wound ratio, nutrition density, assisted nutrition and resistance nutrition in software to simulate to obtain five simulation results of different development types, and analyzing the obtained simulation results.
2. The cellular automaton-based self-body co-estrus calculation implementation method according to claim 1, characterized in that: firstly, setting the proportion of the exaggerated autologous cells and the weak autologous cells at the moment of birth when the autologous cells are defined by the rule logic in the step one;
then, self-nutrition given to children by parents and environment is taken as an emotional memory data unit with positive promotion effect in the co-emotional calculation to be obtained and stored;
then, with the gradual change, when the autologous cells enter the middle area of the coordinate axis, the autologous cells are considered to be mature cells;
and finally, adjusting the weight of the functional variable of the autotrophy by stages according to the description of the autotrophy psychology on the phenomenon of physical development, wherein the functional variable is divided into three stages, namely an oral desire stage, an anal desire stage and a Russian stage.
3. The cellular automaton-based self-body co-estrus calculation implementation method according to claim 2, wherein: the autotrophy comprises mircophoton and totipotent guest functions, wherein the effective mircophoton and totipotent guest functions are defined as power-assisted nutrition, and the distorted mircophoton and totipotent guest functions are defined as resistance nutrition; the coordinate axis area is divided into seven blocks, the left side and the right side respectively correspond to the desire period, the anal desire period and the Russian period of the exaggeration autogenesis process and the weakness autogenesis process, and the middle part corresponds to the mature autogeny.
4. The cellular automaton-based self-body co-estrus calculation implementation method according to claim 2, wherein: three stages of the functional variables of the autotrophy
The ratio of the psychotrophy corresponding to the specular function in the aphrodisiac stage to the psychotrophy corresponding to the aphrodisiac function of the autologous object is 7: 3;
the ratio of the psychotrophy corresponding to the mirror mapping function to the psychotrophy corresponding to the aphrodisiac function of the autologous object in the anal desire period is 5: 5;
the ratio of the psychotrophy corresponding to the mirror mapping function in the Russian stage to the psychotrophy corresponding to the body guest empathetic function is 3: 7.
5. The cellular automaton-based self-body co-estrus calculation implementation method according to claim 1, characterized in that: the logic flow of the two version rules in the third step comprises
1) After the self-body cells are initialized, searching for the maximum nutrition value in the neighboring tiles, absorbing the maximum nutrition value to become self energy, then developing to the maturation stage in a straight line, and recycling the process until the maturation;
2) after the self-body cells are initialized, the maximum value of nutrition is searched in the initial energy radius, the movement range of the cells is expanded outwards all the time, the self-energy is consumed to move to the position of the nutrition, the maximum value of the nutrition is absorbed to become the self-energy, and the process is recycled until the cells are mature.
6. The cellular automaton-based self-body co-estrus calculation implementation method according to claim 1, characterized in that: the five different development types in the fourth step comprise a self-love type, a self-inferior type, a melancholy type, an empty type and a trauma anxiety type.
7. The cellular automaton-based self-body co-estrus calculation implementation method according to claim 6, wherein: in the self-attaching simulation result, the birth wound ratio is moderate, the nutrition density of the vitreoscope is low, the nutrition density of the totipotent autologous object is moderate, the ratio of the assisted nutrition and the resistance nutrition of the vitreoscope is low, and the totipotent autologous object is full-assisted nutrition;
in an autogenous simulation result, the birth wound ratio is moderate, the specular nutrition density is low, the nutrition density of the totipotent autologous object is moderate, the ratio of the specular assisted nutrition to the resistance nutrition is high, and the ratio of the specular assisted nutrition to the resistance nutrition is moderate;
the birth wound ratio of the melancholy simulation result is moderate, the nutrition density of the vitriol is low, the nutrition density of the totipotent autologous object is low, the ratio of the assisted nutrition and the resistant nutrition of the vitriol is high, and the ratio of the assisted nutrition and the resistant nutrition of the totipotent autologous object is low;
in the empty-deficiency type simulation result, the birth wound ratio is moderate, the nutrition density of the ametropia is moderate, the nutrition density of the omnipotent autologous object empathetic is low, the proportion of the ametropia and the resistance nutrition of the ametropia is moderate, and the proportion of the ametropia and the resistance nutrition of the omnipotent autologous object empathetic is low;
the simulation result of the traumatic anxiety type has low birth trauma ratio, moderate nutrition density of the vitreoscope, moderate nutrition density of the totipotent autologous object, moderate proportion of the assisted nutrition and the resistant nutrition of the vitreoscope, and moderate proportion of the assisted nutrition and the resistant nutrition of the totipotent autologous object.
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