Computational Semiotics : A New Aproach for the Study of Intelligent System Part II : Theory and Application

The aim of this paper is to introduce the theoretical foundations of an approach for intelligent systems development. Derived from semiotics, a classic discipline in human sciences, the theory developed provides a mathematical framework for the concept of knowledge and for knowledge processing. As a result, a new perspective to study and to develop intelligent systems emerges. In part I, we focused on the essentials of such a theory. It included the background needed from semiotics, describing the relationship between semiotics, intelligent systems and cognition. A taxonomy of the elementary types of knowledge was proposed, followed by another classification considered by the point of view of its application in a cognitive system. In addition, a mathematical definition of objects and object networks, were proposed. Here, in part II, we proceed introducing the issues concerning knowledge modeling and system development. The elementary types of knowledge are modelled using the concepts of objects and object networks. Based on the idea of applied knowledge, a general architecture for an intelligent system is suggested. An example concerning control of an autonomous vehicle is addressed to illustrate the use of computational semiotics in developing intelligent systems, and to show how intelligent systems can be implemented. Finally, the conclusions and further work are addressed.