RA TravelChain introduces the following standards of evaluation to be used for settling reputation by systems of machine learning and artificial intelligence:
- Credibility of provided information;
- Communicability;
- Goodwill;
- Responsibility;
- Intelligence.
Absolute reputation increase of a participant shall be determined in RA TravelChain by the following equation where the product of the total amount of payments multiplied by reputation of a paying participant shall be summed up in relation to all recent payments and rationed by the sum of reputations of all the contributors concerning all their payments and therefore be equal to an average payment where deciding factor is the reputation of a paying participant.
Relative increase of reputation shall be rationed within 0 to 1 range along the system relative to maximum value among all the participants.
In order to determine a new current reputation by results of the latest estimated period, an average previous reputation is considered relative to previous reputation taking into account the length of all previous periods and the length of the latest estimated period.
When the system is developed further, this algorithm of evaluation and update of reputation might be supplemented by a mechanism to identify fraudulent schemes of artificial increase of reputation that create a vast number of costly fictitious tasks mutually undertaken by colluding parties.
If you want to take part in Token Sale than visit TravelChain.io. and leave your email on the main page! We will keep you updated.