{"type":"ScholarlyArticle","title":"Common-Sense Knowledge of Space: Learning from Experience","authors":[{"name":"Benjamin Kuipers","slug":"benjamin-kuipers","given":"Benjamin","family":"Kuipers","affiliation":""}],"abstract":"The TOUR model is a computational model of human commonsense knowledge of large-scale space. It shows how ob sN \\' alions arc assimilated into a description, from multiple perspectives, of the spatial environment. In this paper we propose a representation for sensory events at a level suited to this investigation, and an inference s trategy by which the se ~en s ory events are assimilated into descriptions of spatial structure. We al so di sc u~. s the stales of partial knowledge that occur during the learning process, and show that the represenl<~llon exh t h•l ~ graceful degradatton of performance under resource limitations.","doi":null,"url":"https://ijcai.org/proceedings/1979/111","pdf":"https://ijcai.org/proceedings/1979/0111.pdf","markdown":"https://ijcai.org/proceedings/1979/111.md","bibtex":"https://ijcai.org/proceedings/1979/bibtex/111","volume":{"slug":"1979","title":"Proceedings of the Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1979","url":"https://ijcai.org/proceedings/1979/","year":1979,"location":"Tokyo, Japan","dates":"August 20-23, 1979","editors":"Bruce G. Buchanan","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":111,"pages":{"first":null,"last":null},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}