ML Anthology

Creating Abstractions Using Relevance Reasoning

Alon Y. Levy
AAAI 1994 pp. 588-594
/aaai/1994/levy1994aaai-creating/

Abstract

Reasoning with multiple levels of abstraction is a powerful method of controlling problem solving in complex domains. We consider the problem of simplifying a knowledge base by creating an abstraction that is tailored for a given set of queries. Our approach is based on associating formally an abstraction with some irrelevant detail that is removed from the knowledge base. We show how creat-ing an abstraction and determining its util-ity amounts to automatically deciding which aspects of a representation are irrelevant to a query. As a result, we derive a general al-gorithm schema for automatically generating abstractions for a query. As an instance of the schema, we describe a novel algorithm for automatically abstracting a KB by projecting out relation arguments.

PDF AAAI Semantic Scholar

Cite

Text

Levy. "Creating Abstractions Using Relevance Reasoning." AAAI Conference on Artificial Intelligence, 1994.

Markdown

[Levy. "Creating Abstractions Using Relevance Reasoning." AAAI Conference on Artificial Intelligence, 1994.](https://mlanthology.org/aaai/1994/levy1994aaai-creating/)

BibTeX

@inproceedings{levy1994aaai-creating,
  title     = {{Creating Abstractions Using Relevance Reasoning}},
  author    = {Levy, Alon Y.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {1994},
  pages     = {588-594},
  url       = {https://mlanthology.org/aaai/1994/levy1994aaai-creating/}
}