Solution evaluation system and method based on game theory

Abstract

The present invention discloses a scheme evaluation system and method based on game theory, which relates to the technical field of scheme evaluation, including a game identification terminal, a strategy analysis terminal and a game evaluation terminal. The game identification terminal is used to identify and define all relevant interest objects in real time, clarify the interest demands of the interest objects, the strategy analysis terminal is used to analyze the game strategies that the interest objects may take and their corresponding game benefits in real time, and the game evaluation terminal is used to calculate the optimal strategy combination of the game according to the game risk, and track the optimal strategy execution results in real time, and evaluate the feasibility of the optimal strategy scheme according to the optimal strategy execution results. The scheme evaluation system and method based on game theory can timely track the interest demands in game theory, reduce the errors in scheme evaluation, predict game risks in real time, avoid affecting the accuracy and reliability of game theory scheme evaluation, and ensure the accuracy of the execution of the optimal strategy of the game.

Description

Technical Field

[0001] The present invention relates to the technical field of solution evaluation, and in particular to a solution evaluation system and method based on game theory. Background Art

[0002] Game theory is a mathematical theory and method for studying phenomena of a struggle or competition nature. It is a new branch of modern mathematics and an important discipline in operations research. Game theory-based solution evaluation refers to evaluating the pros and cons and possible outcomes of different solutions by analyzing the strategies and benefits of each participant (player) in the decision-making process. This method is particularly suitable for situations where there are multiple stakeholders and where interests may conflict.

[0003] At present, there are some shortcomings in the evaluation of game theory solutions: 1. In the initial situation, the behavior of the participants conforms to the rational assumption, but as time goes by and the environment changes, the preferences and cognition of the participants may change, and these changes cannot be tracked in time, which may cause the actual behavior to be inconsistent with the theoretical prediction, resulting in errors in the solution evaluation; 2. In practical applications, it is often very difficult to accurately determine the parameters in the model. At the same time, it is impossible to predict the game risk in real time, which may affect the accuracy and reliability of the evaluation; 3. When evaluating the solution, finding the equilibrium strategy of all participants may require complex iterative algorithms and high-performance computing resources, which makes it very difficult to determine the optimal game strategy solution, affecting the efficiency of game theory solution evaluation. At the same time, when the optimal game strategy solution is executed, it is impossible to detect anomalies and make adjustments in real time, and the accuracy of the execution of the optimal game strategy cannot be guaranteed.

[0004] Therefore, a solution evaluation system and method based on game theory is proposed to solve the above problems. Summary of the invention

[0005] The main purpose of the present invention is to provide a solution evaluation system and method based on game theory to solve the problems raised in the above background.

[0006] To achieve the above-mentioned purpose, the technical solution adopted by the present invention is: a solution evaluation system and method based on game theory, including a game identification end, a strategy analysis end and a game evaluation end;

[0007] The game identification terminal is used to identify and define all relevant interest objects in real time, clarify the interest demands of the interest objects, formulate the game strategies that the interest objects may adopt according to the interest demands, and track and automatically adjust the game strategies in real time;

[0008] The strategy analysis end is used to construct a payment matrix or a benefit model by analyzing the gaming strategies that may be taken by the interested party and their corresponding gaming benefits in real time, and to predict the gaming risks that exist when executing the gaming strategies according to the gaming strategies, and to track them in real time and issue an alarm when the risk threshold is exceeded;

[0009] The game evaluation end is used to calculate the optimal strategy combination of the game according to the game risk, and arrange the optimal strategy combinations by serial number, track the sequence of the optimal strategy combinations matching the corresponding serial numbers in real time, determine whether the serial numbers of the optimal strategy combinations are abnormal, and make timely adjustments when abnormal, track the optimal strategy execution results in real time, and evaluate the feasibility of the optimal strategy plan based on the optimal strategy execution results.

[0010] The game identification terminal includes a game identification module, an interest clarification module and a strategy plan module;

[0011] The game identification module includes a game definition unit and a game identification unit;

[0012] The game definition unit is used to define the relevant interest objects in the game strategy, and the interest objects include game strategies and interest strategies, and the game strategies and interest objects are both two interest objects;

[0013] The game identification unit is used to identify the benefit object of the game strategy through pattern selection, and the benefit object includes the game strategy and the benefit strategy.

[0014] The interest clarification module includes an interest appeal unit and an appeal adjustment unit;

[0015] The interest appeal unit is used to obtain the interest appeals of relevant interest objects through questionnaire surveys, virtual AI character interactions, and face-to-face interactions. When there are multiple interest appeals, the appeals are sorted by Arabic numerals;

[0016] The demand adjustment unit is used to determine the interest demands of both parties according to the real-time interaction of relevant interest objects, and to update or adjust the interest demands in a timely manner.

[0017] The strategy plan module includes a strategy plan unit, a strategy tracking unit, a strategy adjustment unit and a strategy early warning unit;

[0018] The strategy plan unit is used to formulate a game strategy plan according to the interest demands, and to sort the game strategy plans according to the interest demands of each interest object by Arabic numerals;

[0019] The strategy tracking unit is used to track the game strategy plan in real time through a data tracker;

[0020] The strategy adjustment unit is used to adjust the game strategy scheme in real time according to the interest demands or cognition of the interest object;

[0021] The strategy early warning unit is used to report to the system when there is a difference between the game strategy plan and the interest demands or cognition, and to issue a voice reminder to the game strategy plan through a voice alarm.

[0022] The strategy analysis end includes a strategy analysis module, a corresponding benefit module and a risk prediction module;

[0023] The strategy analysis module includes a strategy analysis unit and a game benefit unit;

[0024] The strategy analysis unit is used to perform real-time analysis on the interest demands and game strategy solutions of the interest objects;

[0025] The game benefit unit is used to calculate the expected game benefits of the benefit object according to the game strategy scheme, and the calculation formula is as follows:

[0026] ;

[0027] in, It indicates the expected benefits of the game strategy scheme to meet the interests demand, Is a game strategy plan The probability of occurrence, Is a game strategy plan Satisfy the interests and benefits The utility function of .

[0028] The corresponding benefit module includes a payment matrix unit, a profit model unit and a loss detail unit;

[0029] The payment matrix unit is used to describe the mathematical expression chart of the income or payment obtained by the gaming interest object in the gaming strategy scheme through the payment matrix;

[0030] The profit model unit is used to formulate a mathematical model of the profit of the game strategy scheme according to the payment matrix;

[0031] The loss details unit is used to collect statistics of the loss details of the gaming strategy plan in real time through a data statistics table.

[0032] The risk prediction module includes a game risk unit and a risk early warning unit;

[0033] The game risk unit is used to calculate the profit rate of the game strategy execution, and the calculation formula is as follows:

[0034] ;

[0035] in, represents the profit rate of the game strategy plan, represents the reward coefficient of the game strategy solution, It indicates the probability of gaming profit from the execution of the gaming strategy. If the profit rate is positive, it indicates that the gaming strategy is profitable; if the profit rate is negative, it indicates that the gaming strategy is losing money.

[0036] The risk warning unit is used to report to the system and issue a voice reminder when the gaming strategy plan suffers a loss.

[0037] The game evaluation end includes an optimal calculation module, an optimal tracking module, an abnormality correction module and an optimal evaluation module;

[0038] The optimal calculation module includes an interest balance unit, which is used to match the optimal strategy combination through the Nash equilibrium point calculation formula. The calculation formula is as follows:

[0039] ;

[0040] in, , then it is called The Nash equilibrium of the interest object, The first object of interest interest demands, The second object of interest interest demands;

[0041] The optimal tracking module includes a strategy sorting unit and a sequence number tracking unit;

[0042] The strategy ranking unit is used to arrange the matched optimal strategy combinations that meet the interest balance in order;

[0043] The serial number tracking unit is used to track the interest demands of the interest objects of the optimal strategy combination by serial number. If there is a difference in the serial number, it means that the interest demand serial number is abnormal, and it is reported to the system, a voice reminder is issued, and feedback is given to the system to adjust the serial number of the optimal strategy solution.

[0044] The abnormality correction module is used to immediately correct the strategy scheme of the wrong sequence number when it is determined that the corresponding sequence number does not match;

[0045] The optimal evaluation module includes an optimal execution unit and an optimal evaluation unit;

[0046] The optimal execution unit is used to immediately execute the optimal strategy plan according to the strategy plan coordinated by the interest object matching the corresponding sequence number, and track the execution result of the optimal strategy plan in real time according to the data tracker;

[0047] The optimal evaluation unit is used to evaluate the feasibility of the optimal strategy plan according to the execution result of the optimal strategy. If the execution result results in neither party suffering a loss, it indicates that the execution of the optimal strategy plan is effective. If the execution result results in one party making a profit and the other party suffering a loss or both parties suffering a loss, it indicates that the execution of the optimal strategy plan is invalid. The system is immediately reported to issue an early warning reminder and feedback is manually processed.

[0048] The scheme evaluation method based on game theory includes the following steps:

[0049] Step 1: Configure the IP address information of the remote control area server of the game strategy;

[0050] Step 2: Enter the game identification terminal, identify and define all relevant stakeholders in real time, clarify the interests of the stakeholders, formulate the game strategies that the stakeholders may adopt, and track and adjust them automatically in real time;

[0051] Step 3: Enter the strategy analysis terminal, analyze the possible gaming strategies and corresponding gaming benefits of the interested parties in real time, build a payment matrix or benefit model, predict the gaming risks that may exist in the gaming strategies, track them in real time and issue alarm reminders;

[0052] Step 4: Enter the game evaluation end, calculate the optimal strategy combination of the game according to the game risk, evaluate the optimal game strategy, and self-track the execution of the game strategy in real time to determine whether the sequence number of the optimal strategy combination is abnormal, and make timely adjustments when abnormal to ensure the accuracy of the execution of the optimal game strategy.

[0053] The present invention has the following beneficial effects:

[0054] 1. In the present invention, by setting a game identification terminal, when executing the game theory transaction strategy, by clarifying the interest demands of the interest object, and formulating the game strategy that the interest object may take according to the interest demands, when the preferences and cognition of the participants change, the interest demands in the game theory can be tracked in time, avoiding the situation where the actual behavior is inconsistent with the theoretical prediction, and reducing the error in the program evaluation.

[0055] 2. In the present invention, by setting up a strategy analysis terminal, when executing game theory trading strategies, the game strategies that may be taken by the interested parties and their corresponding game benefits are analyzed in real time, and the game risks that exist when executing the game strategies are predicted based on the game strategies. The game risks are tracked in real time and an alarm is issued when the risk threshold is exceeded. This can predict the game risks in real time and avoid affecting the accuracy and reliability of the game theory solution evaluation.

[0056] 3. In the present invention, by setting a game evaluation terminal, when executing game theory trading strategies, the optimal strategy combination of the game is calculated according to the game risk, and the optimal strategy combination is arranged in sequence, and it is determined whether the sequence number of the optimal strategy combination is abnormal. The equilibrium strategy of all participants can be quickly found, and the obstacles to determining the optimal game strategy scheme are reduced. The optimal strategy execution results are tracked in real time. When the optimal game strategy scheme is executed, anomalies can be detected and adjusted in real time to ensure the accuracy of the execution of the optimal game strategy. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] Figure 1 It is a schematic diagram of the overall process architecture of the solution evaluation system and method based on game theory of the present invention;

[0058] Figure 2 It is a schematic diagram of the architecture of the game identification end of the solution evaluation system and method based on game theory of the present invention;

[0059] Figure 3 It is a schematic diagram of the architecture of the strategy analysis end of the solution evaluation system and method based on game theory of the present invention;

[0060] Figure 4 It is a schematic diagram of the architecture of the game evaluation end of the solution evaluation system and method based on game theory of the present invention. DETAILED DESCRIPTION

[0061] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0062] Example 1: Please refer to Figure 1-2 As shown: A scheme evaluation system and method based on game theory, including a game identification end, a strategy analysis end and a game evaluation end;

[0063] The game identification terminal is used to identify and define all relevant stakeholders in real time, clarify the interests of stakeholders, formulate the possible game strategies that stakeholders may adopt based on the interests, and track and automatically adjust the game strategies in real time;

[0064] The strategy analysis end is used to analyze the gaming strategies that the interested parties may adopt and their corresponding gaming benefits in real time, build a payment matrix or benefit model, and predict the gaming risks that exist when executing the gaming strategies based on the gaming strategies, track them in real time, and issue an alarm when the risk threshold is exceeded;

[0065] The game evaluation end is used to calculate the optimal strategy combination of the game based on the game risk, and arrange the optimal strategy combinations by serial number, track the sequence of the optimal strategy combinations matching the corresponding serial numbers in real time, determine whether the serial numbers of the optimal strategy combinations are abnormal, and make timely adjustments when abnormal, track the optimal strategy execution results in real time, and evaluate the feasibility of the optimal strategy plan based on the optimal strategy execution results.

[0066] The game identification end includes a game identification module, an interest clarification module, and a strategy plan module;

[0067] The game identification module includes a game definition unit and a game identification unit;

[0068] The game definition unit is used to define the relevant interest objects in the game strategy. The interest objects include game strategies and interest strategies. Game strategies and interest objects are both two interest objects.

[0069] The game identification unit is used to identify the interest object of the game strategy through pattern selection, and the interest object includes the game strategy and the interest strategy.

[0070] The interest clarification module includes the interest appeal unit and the appeal adjustment unit;

[0071] The interest appeal unit is used to obtain the interest appeals of relevant stakeholders through questionnaires, virtual AI character interactions, and face-to-face interactions. When there are multiple interest appeals, the appeals are ranked using Arabic numerals;

[0072] The demand adjustment unit is used to determine the interests of both parties based on the real-time interaction of relevant stakeholders, and to update or adjust the interests in a timely manner.

[0073] The strategy plan module includes a strategy plan unit, a strategy tracking unit, a strategy adjustment unit and a strategy early warning unit;

[0074] The strategy plan unit is used to formulate game strategy plans according to interest demands, and to sort the game strategy plans by Arabic numerals according to the interest demands of each interest object;

[0075] The strategy tracking unit is used to track the game strategy plan in real time through the data tracker;

[0076] The strategy adjustment unit is used to adjust the game strategy plan in real time according to the interest demands or cognition of the interest object;

[0077] The strategy warning unit is used to report to the system when there is a discrepancy between the game strategy plan and the interest demands or cognition, and to issue a voice reminder of the game strategy plan through a voice alarm.

[0078] When executing game theory trading strategies, all relevant stakeholders are identified and defined in real time, their interests are clarified, and game strategies that may be taken by them are formulated based on their interests. Game strategies are tracked and automatically adjusted in real time. This allows us to track the interests in game theory in a timely manner when the preferences and cognition of participants change, avoid inconsistencies between actual behavior and theoretical predictions, and reduce errors in program evaluation.

[0079] Example 2: Please refer to Figure 3 As shown: Based on the first embodiment, the strategy analysis end includes a strategy analysis module, a corresponding benefit module and a risk prediction module;

[0080] The strategy analysis module includes a strategy analysis unit and a game benefit unit;

[0081] The strategy analysis unit is used to conduct real-time analysis of the interests and game strategy plans of the stakeholders;

[0082] The game benefit unit is used to calculate the expected game benefits of the interest object according to the game strategy plan. The calculation formula is as follows:

[0083] ;

[0084] in, It indicates the expected benefits of the game strategy scheme to meet the interests demand, Is a game strategy plan The probability of occurrence, Is a game strategy plan Satisfy the interests and benefits The utility function of .

[0085] The corresponding benefit module includes a payment matrix unit, a profit model unit, and a loss detail unit;

[0086] The payment matrix unit is used to describe the mathematical expression chart of the benefits or payments obtained by the gaming interest object in the gaming strategy scheme through the payment matrix;

[0087] The profit model unit is used to formulate a mathematical model of the profit of the game strategy scheme according to the payment matrix;

[0088] The loss details unit is used to collect the loss details of the gaming strategy plan in real time through the data statistics table.

[0089] The risk prediction module includes a game risk unit and a risk early warning unit;

[0090] The game risk unit is used to calculate the profit rate of the game strategy execution. The calculation formula is as follows:

[0091] ;

[0092] in, represents the profit rate of the game strategy plan, represents the reward coefficient of the game strategy solution, It indicates the probability of gaming profit from the execution of the gaming strategy. If the profit rate is positive, it indicates that the gaming strategy is profitable; if the profit rate is negative, it indicates that the gaming strategy is losing money.

[0093] The risk warning unit is used to report to the system and issue voice reminders when the gaming strategy program suffers losses.

[0094] When executing game theory trading strategies, the payment matrix or profit model is constructed by real-time analysis of the game strategies that may be taken by the stakeholders and their corresponding game benefits. In practical applications, the parameters in the model can be determined, and the game risks that exist when executing the game strategies can be predicted based on the game strategies. The risk can be tracked in real time and an alarm can be issued when the risk threshold is exceeded. The game risks can be predicted in real time to avoid affecting the accuracy and reliability of the game theory solution evaluation.

[0095] Example 3: Please refer to Figure 4 As shown: Based on the first embodiment, the game evaluation end includes an optimal calculation module, an optimal tracking module, an abnormality correction module and an optimal evaluation module;

[0096] The optimal calculation module includes a benefit balance unit, which is used to match the optimal strategy combination through the Nash equilibrium point calculation formula. The calculation formula is as follows:

[0097] ;

[0098] in, , then it is called The Nash equilibrium of the interest object, The first object of interest interest demands, The second object of interest interest demands;

[0099] The optimal tracking module includes a strategy ranking unit and a sequence number tracking unit;

[0100] The strategy ranking unit is used to arrange the matched optimal strategy combinations that meet the interest balance in order;

[0101] The serial number tracking unit is used to track the interest demands of the interest objects of the optimal strategy combination by serial number. If there is a difference in the serial number, it means that the interest demand serial number is abnormal, and it is reported to the system, a voice reminder is issued, and feedback is given to the system to adjust the serial number of the optimal strategy plan.

[0102] The abnormality correction module is used to immediately correct the strategy of the wrong sequence number when it is determined that the corresponding sequence number does not match;

[0103] The optimal evaluation module includes an optimal execution unit and an optimal evaluation unit;

[0104] The optimal execution unit is used to immediately execute the optimal strategy plan according to the strategy plan coordinated by the interest object matching the corresponding sequence number, and track the execution result of the optimal strategy plan in real time according to the data tracker;

[0105] The optimal evaluation unit is used to evaluate the feasibility of the optimal strategy plan based on the execution results of the optimal strategy. If the execution result results in neither party suffering a loss, it means that the optimal strategy plan is effectively executed. If the execution result results in one party making a profit and the other party suffering a loss or both parties suffering a loss, it means that the optimal strategy plan is invalid. The system will be immediately reported to issue an early warning reminder and feedback will be manually processed.

[0106] When executing game theory trading strategies, the optimal strategy combination of the game is calculated based on the game risk, and the optimal strategy combination is arranged in sequence. The sequence of the optimal strategy combination with the corresponding sequence number is tracked in real time to determine whether there is any abnormality in the sequence number of the optimal strategy combination. When evaluating the plan, the equilibrium strategy of all participants can be quickly found through sequence number matching to obtain the optimal strategy plan, thereby reducing the obstacles to determining the optimal game strategy plan, improving the efficiency of game theory plan evaluation, and tracking the optimal strategy execution results in real time. The feasibility of the optimal strategy plan is evaluated based on the optimal strategy execution results. When the optimal game strategy plan is executed, anomalies can be detected and adjusted in real time to ensure the accuracy of the execution of the optimal game strategy.

[0107] In the present invention, a scheme evaluation system and method based on game theory, when the system is in operation, first configures the IP address information of the remote control area server of the game strategy; enters the game identification end, through real-time identification and definition of all relevant interest objects, clarifies the interest demands of the interest objects, and formulates the game strategies that the interest objects may adopt, and tracks and adjusts them automatically in real time, through real-time identification and definition of all relevant interest objects, clarifies the interest demands of the interest objects, and formulates the game strategies that the interest objects may adopt according to the interest demands, and tracks and automatically adjusts the game strategies in real time, so that when the preferences and cognition of the participants change, the interest demands in the game theory can be tracked in time, avoiding the situation where the actual behavior is inconsistent with the theoretical prediction, and reducing the error in the scheme evaluation; enters the strategy analysis end, analyzes the game strategies that the interest objects may adopt and their corresponding game benefits in real time, constructs a payment matrix or a benefit model, predicts the game risks that may exist in the game strategies, tracks and issues alarm reminders in real time, and constructs a payment matrix or a benefit model through real-time analysis of the game strategies that the interest objects may adopt and their corresponding game benefits. In practical applications, the parameters in the model can be determined, and Predict the gaming risks that exist when executing gaming strategies according to gaming strategies, track them in real time and issue an alarm when the risk threshold is exceeded. This can predict gaming risks in real time to avoid affecting the accuracy and reliability of the game theory solution evaluation. Enter the game evaluation end, deduce the optimal strategy combination of the game according to the gaming risks, evaluate the optimal gaming strategy, and self-track the execution of the gaming strategy in real time to determine whether the sequence number of the optimal strategy combination is abnormal, and make timely adjustments when abnormalities occur to ensure the accuracy of the execution of the optimal gaming strategy. Calculate the optimal strategy combination of the game according to the gaming risks, and The combinations are arranged in sequence, and the sequence of the optimal strategy combinations with corresponding sequence numbers is tracked in real time to determine whether there is any abnormality in the sequence number of the optimal strategy combination. When evaluating the scheme, the equilibrium strategy of all participants can be quickly found through sequence number matching to obtain the optimal strategy scheme, thereby reducing the obstacles to determining the optimal game strategy scheme, improving the efficiency of game theory scheme evaluation, and tracking the optimal strategy execution results in real time. The feasibility of the optimal strategy scheme is evaluated based on the optimal strategy execution results. When the optimal game strategy scheme is executed, anomalies can be detected and adjusted in real time to ensure the accuracy of the execution of the optimal game strategy.

[0108] The scheme evaluation method based on game theory includes the following steps:

[0109] Step 1: Configure the IP address information of the remote control area server of the game strategy;

[0110] Step 2: Enter the game identification terminal, identify and define all relevant stakeholders in real time, clarify the interests of the stakeholders, formulate the game strategies that the stakeholders may adopt, and track and adjust them automatically in real time;

[0111] Step 3: Enter the strategy analysis terminal, analyze the possible gaming strategies and corresponding gaming benefits of the interested parties in real time, build a payment matrix or benefit model, predict the gaming risks that may exist in the gaming strategies, track them in real time and issue alarm reminders;

[0112] Step 4: Enter the game evaluation end, calculate the optimal strategy combination of the game according to the game risk, evaluate the optimal game strategy, and self-track the execution of the game strategy in real time to determine whether the sequence number of the optimal strategy combination is abnormal, and make timely adjustments when abnormal to ensure the accuracy of the execution of the optimal game strategy.

[0113] The above shows and describes the basic principles and main features of the present invention and the advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention to be protected. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A scheme evaluation system based on game theory, characterized in that: The system includes a game identification terminal, a strategy analysis terminal and a game evaluation terminal; The game identification terminal is used to identify and define all relevant interest objects in real time, clarify the interest demands of the interest objects, formulate the game strategies that the interest objects may adopt according to the interest demands, and track and automatically adjust the game strategies in real time; The strategy analysis end is used to construct a payment matrix or a benefit model by analyzing the gaming strategies that may be taken by the interested party and their corresponding gaming benefits in real time, and to predict the gaming risks that exist when executing the gaming strategies according to the gaming strategies, and to track them in real time and issue an alarm when the risk threshold is exceeded; The game evaluation end is used to calculate the optimal strategy combination of the game according to the game risk, and arrange the optimal strategy combination by serial number, track the sequence of the optimal strategy combination matching the corresponding serial number in real time, judge whether the serial number of the optimal strategy combination is abnormal, and make timely adjustments when abnormal, track the optimal strategy execution result in real time, and evaluate the feasibility of the optimal strategy solution according to the optimal strategy execution result; The strategy analysis end includes a strategy analysis module, a corresponding benefit module and a risk prediction module; The strategy analysis module includes a strategy analysis unit and a game benefit unit; The strategy analysis unit is used to perform real-time analysis on the interest demands and game strategy solutions of the interest objects; The game benefit unit is used to calculate the expected game benefits of the benefit object according to the game strategy scheme, and the calculation formula is as follows: ； in, It indicates the expected benefits of the game strategy scheme to meet the interests demand, Is a game strategy plan The probability of occurrence, Is a game strategy plan Satisfy the interests and benefits The utility function of The corresponding benefit module includes a payment matrix unit, a profit model unit and a loss detail unit; The payment matrix unit is used to describe the mathematical expression chart of the income or payment obtained by the gaming interest object in the gaming strategy scheme through the payment matrix; The profit model unit is used to formulate a mathematical model of the profit of the game strategy scheme according to the payment matrix; The loss details unit is used to count the loss details of the gaming strategy scheme in real time through a data statistics table; The risk prediction module includes a game risk unit and a risk early warning unit; The game risk unit is used to calculate the profit rate of the game strategy execution, and the calculation formula is as follows: ； in, represents the profit rate of the game strategy plan, represents the reward coefficient of the game strategy solution, It indicates the probability of gaming profit from the execution of the gaming strategy. If the profit rate is positive, it indicates that the gaming strategy is profitable; if the profit rate is negative, it indicates that the gaming strategy is losing money. The risk warning unit is used to report to the system and issue a voice reminder when the gaming strategy plan suffers a loss; The game evaluation end includes an optimal calculation module, an optimal tracking module, an abnormality correction module and an optimal evaluation module; The optimal calculation module includes an interest balance unit, which is used to match the optimal strategy combination through the Nash equilibrium point calculation formula. The calculation formula is as follows: ； in, , then it is called The Nash equilibrium of the interest object, The first object of interest A claim of interest, The second object of interest interest demands; The optimal tracking module includes a strategy sorting unit and a sequence number tracking unit; The strategy ranking unit is used to arrange the matched optimal strategy combinations that meet the interest balance in order; The sequence number tracking unit is used to track the interest demands of the interest objects of the optimal strategy combination by sequence number. If there is a difference in the sequence number, it means that the sequence number of the interest demand is abnormal, and it is reported to the system, a voice reminder is issued, and the system is fed back to adjust the sequence number of the optimal strategy solution; The abnormality correction module is used to immediately correct the strategy scheme of the wrong sequence number when it is determined that the corresponding sequence number does not match; The optimal evaluation module includes an optimal execution unit and an optimal evaluation unit; The optimal execution unit is used to immediately execute the optimal strategy plan according to the strategy plan coordinated by the interest object matching the corresponding sequence number, and track the execution result of the optimal strategy plan in real time according to the data tracker; The optimal evaluation unit is used to evaluate the feasibility of the optimal strategy plan according to the execution result of the optimal strategy. If the execution result results in neither party suffering a loss, it indicates that the execution of the optimal strategy plan is effective. If the execution result results in one party making a profit and the other party suffering a loss or both parties suffering a loss, it indicates that the execution of the optimal strategy plan is invalid. The system is immediately reported to issue an early warning reminder and feedback is manually processed.

2. The system according to claim 1, characterized in that: The game identification terminal includes a game identification module, an interest clarification module and a strategy plan module; The game identification module includes a game definition unit and a game identification unit; The game definition unit is used to define the relevant interest objects in the game strategy, and the interest objects include game strategies and interest strategies, and the game strategies and interest objects are both two interest objects; The game identification unit is used to identify the benefit object of the game strategy through pattern selection, and the benefit object includes the game strategy and the benefit strategy.

3. The system according to claim 2, characterized in that: The interest clarification module includes an interest appeal unit and an appeal adjustment unit; The interest appeal unit is used to obtain the interest appeals of relevant interest objects through questionnaire surveys, virtual AI character interactions, and face-to-face interactions. When there are multiple interest appeals, the appeals are sorted by Arabic numerals; The demand adjustment unit is used to determine the interest demands of both parties according to the real-time interaction of relevant interest objects, and to update or adjust the interest demands in a timely manner.

4. The system according to claim 3, characterized in that: The strategy plan module includes a strategy plan unit, a strategy tracking unit, a strategy adjustment unit and a strategy early warning unit; The strategy plan unit is used to formulate a game strategy plan according to the interest demands, and to sort the game strategy plans according to the interest demands of each interest object by Arabic numerals; The strategy tracking unit is used to track the game strategy plan in real time through a data tracker; The strategy adjustment unit is used to adjust the game strategy scheme in real time according to the interest demands or cognition of the interest object; The strategy early warning unit is used to report to the system when there is a difference between the game strategy plan and the interest demands or cognition, and to issue a voice reminder to the game strategy plan through a voice alarm.

5. A solution evaluation method based on game theory, referring to the solution evaluation system based on game theory as described in any one of claims 1 to 4, characterized in that: The following steps are involved: Step 1: Configure the IP address information of the remote control area server of the game strategy; Step 2: Enter the game identification terminal, identify and define all relevant stakeholders in real time, clarify the interests of the stakeholders, formulate the game strategies that the stakeholders may adopt, and track and adjust them automatically in real time; Step 3: Enter the strategy analysis terminal, analyze the possible gaming strategies and corresponding gaming benefits of the interested parties in real time, build a payment matrix or benefit model, predict the gaming risks that may exist in the gaming strategies, track them in real time and issue alarm reminders; Step 4: Enter the game evaluation end, calculate the optimal strategy combination of the game according to the game risk, evaluate the optimal game strategy, and self-track the execution of the game strategy in real time to determine whether the sequence number of the optimal strategy combination is abnormal, and make timely adjustments when abnormal to ensure the accuracy of the execution of the optimal game strategy.

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