{"type":"ScholarlyArticle","title":"Focusing Attention for Observational Learning: The Importance of Context","authors":[{"name":"Joel D. Martin","slug":"joel-d-martin","given":"Joel D.","family":"Martin","affiliation":""}],"abstract":"A significant component of human observational learning is the ability to focus attention toward important or rele vant input features. Amechanism with this capability can serve as an inductive bias to facilitate learning in both humans and machines. Past attempts to model attentional focus for human learning have postulated a single salience value for each feature, such that features with greater salience command more attention. These models, however, assume that the feature's salience is not dependent on context, whereas studies of human attention show sensitivity to context. This paper presents a mechanism for contextually focused attention in observational lea rning.","doi":null,"url":"https://ijcai.org/proceedings/1989/90","pdf":"https://ijcai.org/proceedings/1989/0090.pdf","markdown":"https://ijcai.org/proceedings/1989/90.md","bibtex":"https://ijcai.org/proceedings/1989/bibtex/90","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":90,"pages":{"first":562,"last":566},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}