GAPS is a platform to enable service for predicting event of future by continuously training artificial intelligence based on collective intelligence, that is training with data generated through argument related with prediction.
The data related with prediction for training artificial intelligence is acquired through argument of collective intelligence, whose start point is based on the question that can be determined at future.
Here, the question that can be determined indicates that when the actual event occurred after pre-defined predictable time, anyone can refer the data or answer for that result using Oracle middleware provided by GAPS system. Also, we assume that there is no error in data itself.
When the generator opens a channel for training with a question for prediction, that question becomes a topic of the channel and participants of the channel propose their opinion about a prediction for a given topic. Finally, they take issue by
joining to the argument.
In this process, they may enhance the responsibility and reward for their opinion by expressing their opinion several times. Also, the logically well-written opinion receives the logic point, which is similar to the recommendation in the general community, from other participants. In the opposite case, the opinion may lose its point.
According to the participation to the training, the point affects the reward and responsibility after an argument.
The training is completed when the result is noticed after a certain time that is determined at channel open and the consensus is made. When any participant of the channel has an objection about the result, the adjustment can be done through the poll.
Most of existing online communities are operated based on anonymity. This, of course, has a strong point but the side effect is not trivial.
Source: http://gapschain.io/main/file/en2.pdf
Especially, the irresponsibility for own opinion due to anonymity is the major cause. In addition, the opinion without responsibility is not worth as data at all.
To address these issues, GAPS platform resolves these problems through arguments and questions for all participants, as well as consequent responsibility and rewards.
In GAPS platform, the responsibility and rewards are related to the success or failure of artificial intelligence training. All of these processes are completely automated by a smart contract that runs on the decentralized platform. Consequently, intervention at the middle of the process or fabricating result is fundamentally impossible.
Among these various features, the most distinguishable point compared with other predictive platform is the virtuous cycle architecture that predicts not only the possibility of the event but also the various reasons of that event using collective intelligence, trains the artificial intelligence with all of these data, and finally enables the more accurate prediction.
In summary, GAPS platform is a system that gradually trains artificial intelligence through collective intelligence’s arguments for prediction, where various
opinions themselves improve the accuracy of prediction and provides the prediction of artificial intelligence trained above certain threshold as service for the participants who need it.
A.I on Collective Intelligence Through Predictive Discussion Platform
