Introduction to Coding Theory for Flow Equations of Complex Systems Models

The modeling of complex dynamic systems depends on the solution of a differential equations system. Some problems appear because we do not know the mathematical expressions of the said equations. Enough numerical data of the system variables are known. The authors, think that it is very important to establish a code between the different languages to let them codify and decodify information. Coding permits us to reduce the study of some objects to others. Mathematical expressions are used to model certain variables of the system are complex, so it is convenient to define an alphabet code determining the correspondence between these equations and words in the alphabet. In this paper the authors begin with the introduction to the coding and decoding of complex structural systems modeling.

De l’expressió de la percepció sensorial auditiva a l’expressió del discurs reportat. El verb sentir en català medieval (s. XIII–XVI)

This study analyzes the process of semantic change by which the Old Catalan verb sentir developed from a meaning based on general perception to one implying auditory perception. In particular, the article shows that by the end of the 13th century the verb sentir had only semanticized the perception of non-linguistic auditory stimuli and had not fused completely with the meaning of the verb oir, as was the case with the evolution of SĔNTĪRE in other Romance languages (such as Peninsular Spanish). Our study has been based on data analysis of an electronic linguistic corpus using the concepts of E. C. Traugott’s Invited Inferencing Theory of Semantic Change (IITSC) (2012) and the concept of evidentiality.