Blockchain token incentive device, method, medium and terminal based on game theory

Abstract

The present invention provides a blockchain token incentive device, method, medium and terminal based on game theory, including a collection module, a processing module and an output module; the collection module is used to collect historical data of the funding party and the demand party of the token; the processing module is used to calculate the profit maximization equilibrium point of the funding party and the demand party based on the historical data of the funding party and the demand party based on game theory; the smart contract parameters used by the funding party and the demand party are determined based on the profit maximization equilibrium point; the output module is used to output the smart contract parameters used by the funding party and the demand party. The blockchain token incentive device, method, medium and terminal based on game theory of the present invention establish a smart contract equilibrium system for tokens according to game theory, thereby providing appropriate smart contract suggestions for funding parties and demand parties.

Description

Technical Field

[0001] The present invention relates to the technical field of blockchain, and in particular to a blockchain token incentive device, method, medium and terminal based on game theory. Background Art

[0002] Blockchain can be used in many applications, such as notarization, accounting, and information recording. The best application of blockchain is to issue credible digital certificates, that is, tokens. Tokens not only have the convenience, liquidity, and globality of electronic payment, and can realize 7×24 hours of all-weather market transactions, but also cannot be forged on the blockchain, so they can represent a variety of values. Tokens are wealth codes in the blockchain era. In essence, they are a kind of power used to control assets and labor, including property rights attributes, currency attributes, and equity attributes.

[0003] Just as mining (block packaging) is the value foundation of public blockchains, for alliance chains, blockchain tokens and their incentive system are one of the necessary conditions for the survival of alliance chains. In the existing technology, in various community scenarios based on alliance chains, how to complete value discovery through on-chain data has always been one of the core concerns of alliance chains.

[0004] Since value discovery itself is a key function of the trading market, there are endless studies on its blockchain implementation. However, at present, whether it is value discovery with the help of third-party data or through the oracle mechanism, the focus is basically on designing a value target and entrusting the value discovery itself to the original market to complete spontaneously. At the smart contract level, due to the sensitivity of the contract content, the above mechanism cannot provide a reasonable value discovery mechanism. Summary of the invention

[0005] In view of the shortcomings of the prior art mentioned above, the purpose of the present invention is to provide a blockchain token incentive device, method, medium and terminal based on game theory, and to establish a smart contract equilibrium system for tokens according to game theory, so as to provide appropriate smart contract suggestions for funding parties and demand parties.

[0006] To achieve the above-mentioned purpose and other related purposes, the present invention provides a blockchain token incentive device based on game theory, including a collection module, a processing module and an output module; the collection module is used to collect historical data of the funding party and the demander of the token; the processing module is used to calculate the profit maximization equilibrium point of the funding party and the demander based on the historical data of the funding party and the demander based on game theory; based on the profit maximization equilibrium point, the smart contract parameters used by the funding party and the demander are determined; the output module is used to output the smart contract parameters used by the funding party and the demander.

[0007] In one embodiment of the present invention, the collection module collects the historical data from the retained data on the alliance chain.

[0008] In one embodiment of the present invention, the historical data includes the demand side's end-of-period yield rate and the funding side's token cost rate.

[0009] In one embodiment of the present invention, the processing module calculates the profit maximization equilibrium point of the funding party and the demand party based on the historical data of the funding party and the demand party based on game theory, including the following steps:

[0010] Setting the optimization principle of the funding party and the optimization principle of the demand party;

[0011] According to the optimization principle of the funding party and the optimization principle of the demander, the profit maximization equilibrium point of the funding party and the demander is calculated based on game theory.

[0012] In one embodiment of the present invention, the optimization principle of the funding party is Among them C V is the token amount of the funding party, α V is the token cost rate of the funding party, C A is the amount of tokens obtained by the demand side, r is the demand side’s rate of return at the end of the period, δ is the demand side’s basic target rate of return, m is the demand side’s management fee rate, κ is the demand side’s excess profit sharing rate, δ * is the optimal solution for the basic target rate of return on the demand side, is a positive real number, r f is the risk-free interest rate.

[0013] In one embodiment of the present invention, the optimization principle of the demand side is Among them, C A is the amount of tokens obtained by the demand side, r is the demand side’s rate of return at the end of the period, δ is the demand side’s basic target rate of return, m is the demand side’s management fee rate, κ is the demand side’s excess profit sharing rate, and * It is the optimal solution for the demand side’s excess profit sharing rate.

[0014] In one embodiment of the present invention, the profit maximization equilibrium point of the funding party and the demand party is The solution (δ * , κ * ), where δ is the basic target rate of return on the demand side, m is the management expense rate on the demand side, r is the rate of return on the demand side at the end of the period, δ * is the optimal solution of the basic target rate of return on the demand side, κ *It is the optimal solution for the demand side’s excess profit sharing rate.

[0015] The present invention provides a blockchain token incentive method based on game theory, comprising the following steps:

[0016] Obtain historical data on the funders and demanders of tokens;

[0017] Calculate the profit maximization equilibrium point of the funding party and the demand party based on game theory according to the historical data of the funding party and the demand party;

[0018] The smart contract parameters used by the funding party and the demander are determined based on the profit maximization equilibrium point.

[0019] The present invention provides a storage medium on which a computer program is stored, and when the program is executed by a processor, the above-mentioned blockchain token incentive method based on game theory is implemented.

[0020] The present invention provides a terminal, comprising: a processor and a memory;

[0021] The memory is used to store computer programs;

[0022] The processor is used to execute the computer program stored in the memory so that the terminal executes the above-mentioned blockchain token incentive method based on game theory.

[0023] As described above, the blockchain token incentive device, method, medium and terminal based on game theory of the present invention have the following beneficial effects:

[0024] (1) Establish a smart contract equilibrium system for tokens based on game theory, thereby providing appropriate smart contract suggestions for funding parties and demand parties;

[0025] (2) Improved decision-making efficiency in specific scenarios. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 Shown is a schematic diagram of the structure of a blockchain token incentive device based on game theory in one embodiment of the present invention;

[0027] Figure 2 Shown is a flow chart of a game theory-based blockchain token incentive method in one embodiment of the present invention;

[0028] Figure 3 Shown is a schematic structural diagram of a terminal in one embodiment of the present invention.

[0029] Component number description

[0030] 11. Acquisition Module

[0031] 12 Processing Module

[0032] 13 Output Module

[0033] 31 Processor

[0034] 32 Memory DETAILED DESCRIPTION

[0035] The following describes the embodiments of the present invention by specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that the following embodiments and features in the embodiments can be combined with each other without conflict.

[0036] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and thus the drawings only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0037] The game theory-based blockchain token incentive device, method, medium and terminal of the present invention establish a smart contract equilibrium system for tokens according to game theory, provide appropriate smart contract suggestions for funding parties and demand parties, and thus provide a reasonable value discovery mechanism.

[0038] like Figure 1 As shown, in one embodiment, the game theory-based blockchain token incentive device of the present invention includes a collection module 11, a processing module 12 and an output module 13.

[0039] The collection module 11 is used to collect historical data of the funding party and the demander of the token.

[0040] Specifically, historical data of the funding party and the demand party are automatically collected from the retained data on the alliance chain. Preferably, the historical data includes the end-of-period yield of the demand party and the token cost rate of the funding party.

[0041] The processing module 12 is connected to the collection module 11, and is used to calculate the profit maximization equilibrium point of the funding party and the demand party based on game theory according to the historical data of the funding party and the demand party; and determine the smart contract parameters used by the funding party and the demand party based on the profit maximization equilibrium point.

[0042] In one embodiment of the present invention, calculating the profit maximization equilibrium point of the funding party and the demand party based on game theory according to the historical data of the funding party and the demand party includes the following steps:

[0043] a) Setting the optimization principle of the funding party and the optimization principle of the demand party.

[0044] Specifically, let the token amount of the funding party be C V , the token cost rate is α V , the amount of tokens obtained by the demander is C A , then when demand occurs, the total tokens of the funding party and the demand party satisfy the identity C V =C A +C f Among them, C f The remaining token amount of the funding party.

[0045] Let r be the demand side’s rate of return at the end of the period, δ be the demand side’s basic target rate of return, m be the demand side’s management expense rate, and κ be the demand side’s excess profit sharing rate. Assume that in terms of bargaining power, the funding side determines δ, the demand side determines κ, and δ * is the optimal solution of the basic target rate of return on the demand side, κ * is the optimal solution for the excess profit sharing rate on the demand side, is a positive real number, r f is the risk-free interest rate, then the optimization principle for the demand side is The optimization principle of the funding side is

[0046] b) Calculating the profit maximization equilibrium point of the funding party and the demander based on the game theory according to the optimization principle of the funding party and the optimization principle of the demander.

[0047] Specifically, it is assumed that the demand side's capital demand satisfies the linear corresponding relationship C A =a+l κ κ-l δ δ, where the coefficients a and l κ , l δ are all positive real numbers, and are all obtained by regression of the historical data, then there exists a first-order derivative condition, that is,

[0048] therefore,

[0049] For δ<r, it must satisfy

[0050] For δ ≥ r, we have

[0051] It can be proved that when r<p=1+m+r f hour, on the contrary, This means that when When , the optimal strategy is On the contrary, it should be

[0052] For the demand side,

[0053]

[0054] Obviously, when the base rate of return is greater than the actual rate of return, the profit sharing rate is meaningless. The rational decision at this time is not to participate in the game. This means that when δ<r, the following simultaneous equations have solutions

[0055]

[0056] After substituting κ into

[0057]

[0058] After simplification, we can get

[0059]

[0060] After extracting the common factors, the above equation is an equation with a maximum power of 4 about δ

[0061]

[0062] According to algebraic knowledge, the above game problem has a solution. Therefore, by using the analytical solution of the quartic equation, the equilibrium point of the game (δ * , κ * ), which is the equilibrium point that maximizes the total benefits of both parties. The profit maximization equilibrium point is used as the corresponding smart contract parameter to achieve value balance between the funding party and the demand party.

[0063] The output module 13 is connected to the processing module 12 and is used to output the smart contract parameters used by the funding party and the demander.

[0064] Specifically, the blockchain token incentive based on game theory is realized by outputting the smart contract parameters used by the funding party and the demander.

[0065] like Figure 2 As shown, in one embodiment, the blockchain token incentive method based on game theory of the present invention includes the following steps:

[0066] Step S1: Obtain historical data of the funder and demander of the token.

[0067] Step S2: Calculate the profit maximization equilibrium point of the funding party and the demand party based on game theory according to the historical data of the funding party and the demand party.

[0068] Step S3: Determine the smart contract parameters used by the funding party and the demander based on the profit maximization equilibrium point.

[0069] Among them, the above steps are consistent with the relevant implementations in the computing module in the above-mentioned blockchain token incentive device based on game theory, so they will not be repeated here.

[0070] The storage medium of the present invention stores a computer program, which, when executed by a processor, implements the above-mentioned blockchain token incentive method based on game theory. The storage medium includes: ROM, RAM, disk, U disk, memory card or CD, etc., which can store program code.

[0071] like Figure 3 As shown, in one embodiment, the terminal of the present invention includes: a processor 31 and a memory 32 .

[0072] The memory 32 is used to store computer programs.

[0073] The memory 32 includes: ROM, RAM, disk, USB flash drive, memory card or CD and other media that can store program codes.

[0074] The processor 31 is connected to the memory 32 and is used to execute the computer program stored in the memory 32 so that the terminal executes the above-mentioned blockchain token incentive method based on game theory.

[0075] Preferably, the processor 31 can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components.

[0076] In summary, the blockchain token incentive device, method, medium and terminal based on game theory of the present invention establish a token smart contract equilibrium system according to game theory, thereby providing appropriate smart contract suggestions for the funding party and the demand party; and improving the decision-making efficiency in specific scenarios. Therefore, the present invention effectively overcomes the various shortcomings of the prior art and has a high industrial utilization value.

[0077] The above embodiments are merely illustrative of the principles and effects of the present invention, and are not intended to limit the present invention. Anyone familiar with the art may modify or alter the above embodiments without departing from the spirit and scope of the present invention. Therefore, all equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concept disclosed by the present invention shall still be covered by the claims of the present invention.

Claims

1. A blockchain token incentive device based on game theory, characterized by: It includes an acquisition module, a processing module and an output module; The collection module is used to collect historical data of the funding party and the demand party of the token; The processing module is used to calculate the profit maximization equilibrium point of the funding party and the demand party based on the historical data of the funding party and the demand party based on game theory; and determine the smart contract parameters used by the funding party and the demand party based on the profit maximization equilibrium point; The output module is used to output the smart contract parameters used by the funding party and the demander; The profit maximization equilibrium point of the funding party and the demand party is The solution (δ * ,κ * ), where δ is the basic target rate of return on the demand side, m is the management expense rate on the demand side, r is the rate of return on the demand side at the end of the period, δ * is the optimal solution for the basic target rate of return on the demand side, κ * It is the optimal solution for the demand side’s excess profit sharing rate.

2. The game theory-based blockchain token incentive device according to claim 1, characterized in that: The collection module collects the historical data from the retained data on the alliance chain.

3. The game theory-based blockchain token incentive device according to claim 1, characterized in that: The historical data includes the demand side’s end-of-period yield rate and the funding side’s token cost rate.

4. The game theory-based blockchain token incentive device according to claim 1, characterized in that: The processing module calculates the profit maximization equilibrium point of the funding party and the demand party based on the historical data of the funding party and the demand party based on game theory, including the following steps: Setting the optimization principle of the funding party and the optimization principle of the demand party; According to the optimization principle of the funding party and the optimization principle of the demander, the profit maximization equilibrium point of the funding party and the demander is calculated based on game theory.

5. The game theory-based blockchain token incentive device according to claim 4 is characterized in that: The optimization principle of the funding party is Among them C V is the token amount of the funding party, α V is the token cost rate of the funding party, C A is the amount of tokens obtained by the demand side, r is the demand side’s rate of return at the end of the period, δ is the demand side’s basic target rate of return, m is the demand side’s management fee rate, κ is the demand side’s excess profit sharing rate, δ * is the optimal solution for the basic target rate of return on the demand side, is a positive real number, r f is the risk-free interest rate.

6. The game theory-based blockchain token incentive device according to claim 4 is characterized in that: The optimization principle of the demand side is Among them, C A is the amount of tokens obtained by the demand side, r is the demand side’s rate of return at the end of the period, δ is the demand side’s basic target rate of return, m is the demand side’s management fee rate, κ is the demand side’s excess profit sharing rate, and * It is the optimal solution for the demand side’s excess profit sharing rate.

7. A blockchain token incentive method based on game theory, characterized by: The following steps are involved: Obtain historical data on the funders and demanders of tokens; Calculate the profit maximization equilibrium point of the funding party and the demand party based on game theory according to the historical data of the funding party and the demand party; Determine the smart contract parameters used by the funding party and the demander based on the profit maximization equilibrium point; The profit maximization equilibrium point of the funding party and the demand party is The solution (δ * ,κ * ), where δ is the basic target rate of return on the demand side, m is the management expense rate on the demand side, r is the rate of return on the demand side at the end of the period, δ * is the optimal solution for the basic target rate of return on the demand side, κ * It is the optimal solution for the demand side’s excess profit sharing rate.

8. A storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the game theory-based blockchain token incentive method described in claim 7 is implemented.

9. A terminal, characterized in that: include: Processor and memory; The memory is used to store computer programs; The processor is used to execute the computer program stored in the memory so that the terminal executes the game theory-based blockchain token incentive method described in claim 7.

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