Title: An automated knowledge elicitation archetype for an intelligent individualized instruction system
Abstract:The Automated Knowledge Elicitation Archetype (AKEA) is a knowledge acquisition methodology that automatically builds a flexible knowledge base for an Intelligent Individualized Instruction (I$\sp3$) ...The Automated Knowledge Elicitation Archetype (AKEA) is a knowledge acquisition methodology that automatically builds a flexible knowledge base for an Intelligent Individualized Instruction (I$\sp3$) system. The I$\sp3$ system is a Dynamic Intelligent Teaching System (DITS) that provides a student with individualized instruction to attain competency in a particular subject area. The I$\sp3$ system is a generic knowledge based system that separates domain independent knowledge from domain dependent knowledge that can be applied to several domains by providing the domain dependent knowledge. AKEA builds this necessary knowledge for problem solving from existing cases such as a set of problem statements and their numeric answers.
AKEA builds a problem-solving knowledge base that is capable of interpreting and solving problems in the domain. The knowledge base generated by AKEA is flexible enough to be used when it is either open (for adding new knowledge) or closed (for use). The premise of the open system is an ability to add knowledge incrementally--expanding the problem-solving capabilities without recompiling the existing knowledge. As an open knowledge base under the AKEA environment, it is able to receive new knowledge at any time. Similarly, AKEA provides a closed environment so that the currently available knowledge base can be used even if it is not complete. AKEA enables a knowledge base system to be used before or during the knowledge acquisition process; a user does not have to wait until all knowledge is extracted before using the system.
AKEA acquires the domain knowledge automatically. The inputs are the existing cases. AKEA reads the problem statements from a file, builds the domain knowledge, and saves it in its knowledge base. AKEA acquires domain knowledge efficiently: it uses computer time, not a domain expert's. The knowledge generated is available immediately so that the AKEA application system could use it for solving follow-on problems.Read More
Publication Year: 1995
Publication Date: 1995-11-20
Language: en
Type: article
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