A Study and Application on Cross-Disciplinary Proficiency Learning of Artificial Intelligence

This paper broadly elaborated the concept, significance and main strategy of cross disciplinary proficiency learning as well as the basic structure of cross disciplinary proficiency learning system. By combining several basic ideas of main strategies, great effort are laid on introducing several cross disciplinary proficiency learning methods, such as Memorizing a type of learning, Reason - based learning, Learning from instruction, Learning by deduction, Learning by analogy and Inductive learning, Learning by Experts etc. Meanwhile, comparison and analysis are made upon their respective advantages and limitations.

Provided by: International Journal of Scientific & Engineering Research Topic: Software Date Added: Jun 2011 Format: PDF

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