Ricardo Pérez-Amat García (University Juan Carlos I, Spain)

Being professor at the University Juan Carlos I (Madrid, Spain), he passed away in November the 14th 2008. This work was posthumously translated by Prof. B. Al Hadithi and J.M. Díaz Nafría.

Information can be understood as that which reduces uncertainty, no matter what origin it has. In the field of human communication, information is only meaningful if it is part of a finished or intentional action. Meaning should be gathered from the empirical perspective of the use of language.

If we study the processing of signification through transmission of the normal use of language, we will see that it takes place communicating a set of prototype categories, the core or central facts, which defines meaning as empirical hypothesis. But if there are central facts showing the use of words, then other facts –more or less peripheral– should also arise, whose knowledge is necessary in order to communicate in contexts far away from the “denotative conceptual norm”. Hence meaning can be represented by a fuzzy subset of the universe of discourse partition set. This concept of meaning may be integrated in a formal model of semantic source and information may be measured by non-probabilistic entropy.

  • Full article published in Triple C, 7(2), special issue What is really information?
  • Spanish article published in ¿Qué es información?, 2008

Ricardo PÉREZ-AMAT (Universidad R. Juan Carlos I)

Information can be understood as that which reduces uncertainty, whatever the origin of this. In the field of human communication, information is only meaningful if it is part of an action is finished, intentional. Meaning will be raised from the emprirical perspective of use of language.
If we study processing of signification through transmission of normal use of language, we will see that it take place communicating a set of prototype categories, the medullary or central facts, that defines meaning as empirical hypothesis. But if there are central facts to learn the use of words, also it must exits facts more or less peripheral whitch knowledge is necessary in contexts so far of the “denotative conceptual norm”, so that meaning can be represented by a fuzzy set of universe of discourse set.
This concept of meaning can be integrated in a formal model of semantic source. Information can be measured by a non probabilistic entropy.

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