Despite showing an overtly simple structure, the semantic process in classic literary-narrative discourse conforms to complicated semiotic systems. As a result, semio-semantics is deemed as one of the most scientific, reliable tools since it helps intradiscursive semio-textual propositions be phenomenologically, and even epistemologically, analyzed. Consequently, the narrative discourse in “The...

Artificial Immune Systems (AIS) can be defined as soft computing systems inspired by immune system of vertebrates. Immune system is an adaptive pattern recognition system. AIS have been used in pattern recognition, machine learning, optimization and clustering. Feature reduction refers to the problem of selecting those input features that are most predictive of a given outcome; a problem encoun...

Abstract This paper argues, first, that the information problem poses a foundational challenge to mainstream semantics. It proposes, second, address this by drawing on notions from Kit Fine’s essentialist framework. More specifically, it claims can be avoided strengthening standard truth theories, employing an operator expressing notion of relative constitutive semantic requirement . As result,...

We present here VISUSYN, a prototype we developed in order to study meaning construction. This software implements the model of dynamic construction of meaning proposed by Victorri and Fuchs (1996). It allows a semantic visualization that can be used to compute the meaning of a lexical unit in a given context

According to its model-theoretic semantics, Semantic Web IRIs are individual constants or predicate letters whose names are chosen arbitrarily and carry no formal meaning. At the same time it is a well-known aspect of Semantic Web pragmatics that IRIs are often constructed mnemonically, in order to be meaningful to a human interpreter. The latter has traditionally been termed ‘social meaning’, ...