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A Computational Semiotics Approach for Soft Computing

A Computational Semiotics Approach for Soft Computing. Ricardo R. Gudwin Fernando A.C. Gomide DCA-FEEC-UNICAMP. Introduction. Computational Intelligence and Soft Computing model intelligent behavior using ideas from biology and the definition and use of uncertainty fuzzy systems

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A Computational Semiotics Approach for Soft Computing

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  1. A Computational Semiotics Approach for Soft Computing Ricardo R. Gudwin Fernando A.C. Gomide DCA-FEEC-UNICAMP

  2. Introduction • Computational Intelligence and Soft Computing • model intelligent behavior using ideas from biology and the definition and use of uncertainty • fuzzy systems • neural networks • evolutive systems • Hybrid Models • neuro-fuzzy • neuro-genetic • fuzzy-genetic

  3. Introduction • Computational Semiotics • Emulation of the process of Semiosis in a computer system • Mathematically define concepts from semiotics in order to be used in a computer system • Object (agent)-oriented structure • Meta-theoretical tool designed to formalize intelligent systems • Unify the representations used to formalize the different behaviors found within soft computing

  4. Fundamental Transformations • Argumentative knowledge • arguments • knowledge of transforming knowledge • Three main arguments • knowledge extraction (deduction) • knowledge generation (induction) • knowledge selection (abduction) • Selection and Internal Functions in an active object • Building blocks for intelligent systems (soft computing)

  5. Conclusions • Computational Semiotics • aiming at an unified formal model for soft computing • extending soft computing through hybrid systems • focus on the knowledge process embedded in each soft computing technique (fuzzy, neural, genetic) • Use of deductive, inductive and abductive arguments to build intelligent behavior • Formal model easily converted into a computational algorithm • General enough to accommodate specific details of each soft computing technique • Do not compete with the current developments for each technique

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