{"type":"ScholarlyArticle","title":"A Theory of Average-Case Compilability in Knowledge Representation","authors":[{"name":"Hubie Chen","slug":"hubie-chen","given":"Hubie","family":"Chen","affiliation":""}],"abstract":"Compilability is a fundamental property of knowledge representation formalisms which captures how succinctly information can be expressed. Although many results concerning compilability have been obtained, they are all \"worst-case\" results. We develop a theory of average-case compilability which allows for the formal comparison and classification of knowledge representation formalisms \"on average.\"","doi":null,"url":"https://ijcai.org/proceedings/2003/68","pdf":"https://ijcai.org/proceedings/2003/0068.pdf","markdown":"https://ijcai.org/proceedings/2003/68.md","bibtex":"https://ijcai.org/proceedings/2003/bibtex/68","volume":{"slug":"2003","title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2003","url":"https://ijcai.org/proceedings/2003/","year":2003,"location":"Acapulco, Mexico","dates":"","editors":"Georg Gottlob","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":68,"pages":{"first":455,"last":459},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}