In recent years, a progressive development of Artificial Intelligence (AI) systems for Decision Support Systems (DSS) has taken place in the field of service and resource management. A decision-making process can be defined as a sequence of basic activities that are done when a decision is taken. The results of each activity produce data for subsequent activities. Decision-making processes vary and depend on the actors involved or the area they are initiated.

We define an AI DSS as a software system that supports in the choice of the right decision. It must take decision in complex situations when it is difficult to make the right choice or decide which strategy can be adopted to achieve a specific goal.

The model of DSS proposed by H. Simon over 50 years ago is still considered a milestone of the decision making process and is divided into 3 main phases: a) intelligence: that identifies and delimits the problem; b) design: that understands the problem, generates and analyzes possible solutions and c) choice: that makes the choice of alternatives formulated in the previous phase.

Mainly in the last years DSS also named intelligence DSS or AI DSS are based on the artificial intelligence algorithms which are not only responsible for making decisions but want to emulate the behavior of the expert decision maker. In a very simple way, AI can be defined as the science that has the task to develop smart machines that learning from human behavior tend to act like humans. AI has a very important role in the realization of AI DSS, especially in the creation of a behavioral and decision-making model in order to obtain a correct prediction in an area where decision-making is important.

Concerning the human processes of learning, recognition and choice, AI is viewed as a reproduction of the intellectual activity of humans, obtained by processing ideal models, or developing in a concrete way machines, that primarily use electronic computer for this purpose. We can assimilate the human mind to an algorithm where the input stimuli are the input data, whereby the human mind processes a series of operations that determine a behaviour and therefore output data. The brain is associated to a parallel hardware, made up of neurons between them connected, on which this program runs. Since a computer has enough computational resources, it can simulate the human mind and have similar abilities to a human mind. In other words, the machines endowed with a different hardware simulate the human reasoning processes, not necessarily the brain.

There are many possibilities to improve the decision-making process in AI-based systems, particularly in solving complex problems for which humans themselves are unable to find solutions establishing relationships between variables. Moreover, the AI DSS has to be realized respecting some characteristics: it must be convenient, providing tangible advantages and results accepted by humans.

AI is a fast moving world of research and this is great illustration of the types of research we want to publish in Experimental Results. We strongly invite all computer science researchers to share their experimental results in different application and scenarios for publication in a fast and open process.