Knowledge Base Management for Experiment Planning in Molecular Genetics

Abstract

The use of a representation language involving schemata and associated derived models has been extended to include all aspects of domain knowledge and strategy and heuristic problem solving knowledge. This uniform representation will allow the extension of knowledge base management techniques for acquisition and retrieval of procedural knowledge.

Cite

Text

Martin et al. "Knowledge Base Management for Experiment Planning in Molecular Genetics." International Joint Conference on Artificial Intelligence, 1977.

Markdown

[Martin et al. "Knowledge Base Management for Experiment Planning in Molecular Genetics." International Joint Conference on Artificial Intelligence, 1977.](https://mlanthology.org/ijcai/1977/martin1977ijcai-knowledge/)

BibTeX

@inproceedings{martin1977ijcai-knowledge,
  title     = {{Knowledge Base Management for Experiment Planning in Molecular Genetics}},
  author    = {Martin, Nancy and Friedland, Peter and King, Jonathan and Stefik, Mark},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {1977},
  pages     = {882-887},
  url       = {https://mlanthology.org/ijcai/1977/martin1977ijcai-knowledge/}
}