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This influence is designed to achieve a goal, either negative or positive. NLP is a psychological method that involves using body language, patterns, and expressions to gauge and influence someone in one way or the other. While this still does not guarantee that they will submit any bounty, there is no real reason why they shouldn’t since they have already performed all the work required for a bounty check.What is neuro-linguistic programming and where did it come from?

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Then, only people who run the entire code can find those bounties. It is always a best practice to use four values which depend “somehow” on the execution on as most of the program’s logic as possible. This gives them a massive advantage over the more honest workers and allows them to get paid without really contributing anything useful to your task. m to see if they have found a proof-of-work solution.

In this case, workers who are not interested in getting the bounty payments but want to work towards the proof-of-work solutions can omit the entire program logic and only check input integers m.

Here, we take four integers from our random input entropy and use them to specify the proof-of-work reward condition. Now, while it is more than fine for our little demo, it is an example of the worst way to do it for productive use. Proof-of-work packages, by the way, work on top of a re-targeting mechanism comparable to the block difficulty re-target in Bitcoin: The more processing power the network has, the harder it becomes to find such proof-of-work solutions so that, on average, the total number of proof-of-work solutions in the entire network converges to 10 per minute. However, if you set this value too small, other tasks on the network might seem more lucrative and attract the processing power away from you. As you can probably imagine, payments per bounty should be set significantly higher than payments per proof-of-work. These are solutions that do not solve your problem but which can be submitted by the workers to claim a tiny amount of coins as a reward for ongoing commitment. XEL introduces the concept of proof-of-work solutions to achieve that. While the discovery of such a solution should be awarded an attractive amount of coins (to keep workers motivated) you also want to keep them motivated by frequent, smaller payments. Imagine you want to find an input to a CNF formula that evaluates it to true: if you have a bijective relation, there will be only one solution which, depending on the complexity of your formula, is very hard to find.

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This has a very simple reason: very often, bounties are very hard to find and only limited to a hand full per job. XEL’s Blockchain works in a way that every task has two types of payments: the proof-of-work payments and the bounty payments. In a next step, we need to specify a condition for “proof-of-work” payments. However, before we get too deep into the little details, you should make sure you have installed all components as described in the 'Installation' section. This avoids unpredictable behavior such as out of memory errors and the halting problem. Furthermore, ePL has a slightly modified memory management (and instruction set) which ensures that every node can assess how much memory the program will consume and when it will terminate before execution.

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Furthermore, since task distribution and verification is done in a decentralized fashion (all nodes which meet a minimum system requirement in terms of memory and CPU power must be able to verify the algorithms’ results in a similar amount of time) is it designed to run in a resource-limited VM.

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However, since nodes on the XEL network download and execute code from potentially dangerous sources a few adaptations were necessary to ensure that code written in ePL can cause no harm to the system it is executed on. Its syntax is very similar to the C programming languages. Let us give you a brief overview of what ePL is: ePL is a programming language which was designed explicitly for coding algorithms to be executed on the XEL computation node network. You will gain enough knowledge from where you can take yourself to a higher level of expertise.

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This tutorial is designed for software programmers with a need to understand the ePL programming language starting from scratch.