Computer Science
8 years ago

Revolutionizing ICAT systems by autonomously acquiring expert knowledge through observation.

1 view
Autonomously acquiring declarative and procedural knowledge for ICAT systems
Vincent J. Kovarik

Paper Summary

The article discusses how Intelligent Computer Aided Training (ICAT) systems need knowledge to work. There are two types of knowledge: domain knowledge about the system and expert knowledge about how to do tasks. Acquiring this knowledge is hard. The article talks about a project that uses passive observation to learn from experts. The system watches an expert and learns rules from what it sees.

Related papers

Theme background image
Computer Science
8 years ago

New tool revolutionizes expert system development, streamlining knowledge acquisition process.

AI Planning
1 view
Theme background image
Computer Science
8 years ago

New framework revolutionizes expert knowledge acquisition for intelligent systems.

AI Planning
Semantic Web
Data Mining Techniques
2 views
Psychology
8 years ago

Unlocking Expert Minds: Knowledge Extraction Enhances Problem-Solving Abilities

Stuttering Impact
Emoticons Impact
Text Simplification
1 view