Multimedia & Artificial Intelligence

Biography

Biography: Maria Jose Arrojo

Abstract

The procedures for finding information on the Internet are mediated by three main aspects. First, the mode of representation of knowledge, because the search is done by a conceptual content that guides the search designs. Second, the specific procedures of heuristics, that is, the patterns or rules that agents or machines must follow so that they have adequate programming to achieve the results they are looking for. Third, there is the task of the agents, who are the ones who select the aims, choose the procedures and evaluate the results.

All of this is done in the procedures for searching information on the Internet. This is possible by designs based on Artificial Intelligence. The study of these designs requires research from the Artificial Sciences. In this sense, this paper starts from the base of the Communication Sciences conceived as Applied Sciences of Design, therefore of the Sciences of the Artificial. Thus, the epistemological point of departure is the representation of knowledge that set aims, which in this case are forms of information on the Internet (YouTube, Snapchat, etc.). Then the methodological component comes, specific ways of finding the information based on the objectives sought with the designs. Thirdly, we have the ontological factor, where agents intervene to achieve the results, based on the representation of knowledge and search methods

It is assumed here that, to design the machine learning procedure, the starting point of the designs is in Artificial Intelligence. To that end, it is necessary to be clear what the objectives of the search are, to reach the aims drawn with the design. Only then do the machines finish doing what they have been programmed for. The agents intervene at the beginning, for the design aims, and at the end, to evaluate the results obtained.