Valuation Intelligence System

This process of intelligent learning is based on "neuronal networks", so called because they try to imitate the functioning of the neurones in the human brain. The networks receive incoming information (the statistical characteristics of the dwellings) on the one hand and, on the other, information on how the minds of valuers work. These data are subject to a number of operations at different levels and, finally, the system comes up with an approximate valuation for the property.

However, brain neurones also react to stimuli but, given that we are at the dawn of history of artificial intelligence, for the moment all the operations have to be carried out from a mathematical viewpoint.

Artificial intelligence can be understood in an overall way, taking in everything: vision, natural language, movement, and so on. This involves trying to imitate the human in everything, including its creativity and emotional intelligence and, in this sense, artificial intelligence is still "very poorly developed". This said, if artificial intelligence is understood as being that tool that is going to solve a specific problem, such as the dishwasher or washing machine that calculates the amount of detergent needed as a function of dirt, "then it works well".

Intelligent zoning

In the market currently, the greatest conditioning factor in the value of a property is the area in which it is located. This zoning factor is currently assessed "by hand". However, the location of streets and estates is not the only factor to be considered but others have to be taken into account. This is why the next step for the research team at the Public University of Navarre is to design a system enabling the intelligent zoning, by house prices, of a city, a province or a region.