Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition
Abstract
Role-limiting approaches support knowledge acquisition (KA) by centering knowledge base construction on common types of tasks or domain-independent problem-solving strategies. Within a particular problem-solving strategy, domain-dependent knowledge plays specific roles. A KA tool then helps a user to fill these roles. Although role-limiting approaches are useful for guiding KA, they are limited because they only support users in filling knowledge roles that have been built in by the designers of the KA system. EXPECT takes a different approach to KA by representing problem-solving knowledge explicitly, and deriving from the current knowledge base the knowledge gaps that must be resolved by the user durin...
Cite
Text
Gil and Melz. "Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition." AAAI Conference on Artificial Intelligence, 1996.Markdown
[Gil and Melz. "Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition." AAAI Conference on Artificial Intelligence, 1996.](https://mlanthology.org/aaai/1996/gil1996aaai-explicit/)BibTeX
@inproceedings{gil1996aaai-explicit,
title = {{Explicit Representations of Problem-Solving Strategies to Support Knowledge Acquisition}},
author = {Gil, Yolanda and Melz, Eric},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1996},
pages = {469-476},
url = {https://mlanthology.org/aaai/1996/gil1996aaai-explicit/}
}