Method for designing probability generator
A generator and event generator technology, applied in instruments, calculations, complex mathematical operations, etc., can solve problems such as single method, achieve the effect of intuitive process, improve efficiency and save resources
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Embodiment 1
[0025] A method for designing a probability generator, comprising the steps (see attached figure 1 ):
[0026] Step 01: There are m pow units;
[0027] Step 02: Determine the probability p of the simulated event in advance (0≤p≤1);
[0028] Step 03: Round the result of m*p to n;
[0029] Step 04: Divide the first n pow units to output node A, and divide the remaining m-n pow units to output node B;
[0030] Step 05: Use the POW consensus mechanism of the blockchain to determine the nodes that obtain the output rights;
[0031] Step 06: Determine whether the node that obtains the output right is A: if it is A, A outputs 1, simulating that the event occurs; if it is B, B outputs 0, simulating that the event does not occur.
Embodiment 2
[0033] The simulated probability of rain tomorrow is 70%.
[0034] A total of 100 pow units can be set up, among which the first 70 units are allocated to node A, and the last 30 units are allocated to node B. That is, when A outputs, it simulates that it will rain tomorrow, and when B outputs, it simulates that it will not rain tomorrow. According to the working principle of the pow consensus mechanism, A has a 70% probability of being selected as an output node, that is, has a 70% probability of obtaining the right to output, thus simulating the event that there is a 70% probability of rain tomorrow. Correspondingly, B has a 30% probability of being selected as an output node, that is, has a 30% probability of obtaining the right to output, thus simulating that there is a 30% probability that it will not rain tomorrow. If it is also necessary to simulate the probability of windy tomorrow, multiple simulators are set to simulate the probability of rain and the probability of...
Embodiment 3
[0036] As an improvement of Embodiment 1, this embodiment proposes a method for designing a probability generator, which is used to design a simulator of an event that is jointly determined by multiple probability events. Contains the following steps:
[0037] Step 01: Abstract the logical structure of how multiple events determine the occurrence of an event.
[0038] Step 02: Using the steps in Embodiment 2, simulate multiple events respectively.
[0039] Step 03: Calculate the simulation results of multiple events to determine the simulated event.
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