Using mathematical semantics and fuzzy logic we can represent with a very simple syntax how human beings think, feel, perceive the world and make decisions.
Big Data and data analysis are being used to obtain customer information. Artificial Intelligence and the recognition of emotions have become powerful tools to interpret the result from a human point of view.
Our differentiating elements are that, thanks to logical programming, we model human reasoning and thanks to constraints, we provide constructive responses. Furthermore, our system allows intelligence to be modeled through a simpler syntax than any other tool based on conventional programming languages.
In retail sector and marketing for the analysis of human behavior, recognition of emotions, evaluation of satisfaction levels, etc.
Successful prototypes presented in the RoboCup League, in recognition of emotions from speech, in flexible searches in databases and in decision-making in the parallelization of programs.