Analogy in Making Predictions

Analogy is not just for comparing two analogs based on obvious similarities between their elements, but it is used in explaining new concepts and solving problems. In our work, we use this concept in making predictions, and we develop a model that is inspired from physics known as the Coulomb’s law to explain the buyer and seller relation during a negotiation and to anticipate the negotiation final price. We will try to apply this model in the prediction of some exchange series, real estate properties and compare it to neural networks model in order to check and prove its effectiveness.

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