A Computational Semiotics Approach for Soft Computing
نویسنده
چکیده
The aim of this paper is to introduce a unified framework for soft computing based on the computational semiotics approach. Derived from semiotics, a classic discipline in human sciences, computational semiotics provides a mathematical foundation for the concept of knowledge and for knowledge processing that is suitable for intelligent systems design and implementation. As a result, a new perspective to study and to develop intelligent systems emerges. The theory introduces the mathematical definition of objects, object systems and object networks. They are used to model the different types of knowledge used in building intelligent systems. Particularly in this paper, we focus on the use of computational semiotics framework to construct fuzzy systems, neural networks and evolutive systems. The paper also addresses soft computing system in an unified manner.
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