{"type":"ScholarlyArticle","title":"A Probabilistic Approach to Marker Propagation","authors":[{"name":"Dekai Wu","slug":"dekai-wu","given":"Dekai","family":"Wu","affiliation":""}],"abstract":"Pot entially, the advantages of marker-passing over local connectionist techniques for associative inference are (1) the ability to differentiate variable bindings, and (2) reduction in th e search space and/ or number of processing ele ments. However, the latter advantage has mostly been realized at the expense of accuracy and pr edictability. In this paper we consider a class of associative inference to which marker passing is often applied, variously called abductive inference, schema selection, or pattern completion. Analysis of marker semantics in a standard semantic net representation leads to a proposal for more strictly regulated marker propagation. An implementation strategy employing an augmented relaxation network is outlined.","doi":null,"url":"https://ijcai.org/proceedings/1989/92","pdf":"https://ijcai.org/proceedings/1989/0092.pdf","markdown":"https://ijcai.org/proceedings/1989/92.md","bibtex":"https://ijcai.org/proceedings/1989/bibtex/92","volume":{"slug":"1989","title":"Proceedings of the Eleventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1989","url":"https://ijcai.org/proceedings/1989/","year":1989,"location":"Detroit, Michigan, USA","dates":"August 20-25 1989","editors":"N. S. Sridharan","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Cognitive Models","track":"Cognitive Models","number":92,"pages":{"first":574,"last":581},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}