Artificial Intelligence and Expert Systems

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Department of Applied Informatics in Transportation

Synopsis:

Introduction to knowledge and expert systems problems. Browsing of state space. Data description and knowledge - rules, frames, objects Expert systems. Knowledge acquisition. Limiting conditions (constrains). Qualitative simulation and quantitative consideration. Introduction to computer vision. Space orientation. Fuzzy expert sets. Fuzzy simulation and expert qualitative models. Problems of intelligent systems.

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