{"type":"ScholarlyArticle","title":"On the Thresholds of Knowledge","authors":[{"name":"Douglas B. Lenat","slug":"douglas-b-lenat","given":"Douglas B.","family":"Lenat","affiliation":""},{"name":"Edward A. Feigenbaum","slug":"edward-a-feigenbaum","given":"Edward A.","family":"Feigenbaum","affiliation":""}],"abstract":"We articulate the three major findings of AI to date: (1) The Knowledge Principle: if a program is to perform a complex task well, it must know a great deal about the world in which it operates. (2) A plausible extension of that principle, called the Breadth Hypothesis: there are two additional abilities necessary for intelligent behavior in unexpected situations: falling back on increasingly general knowledge, and analogizing to specific but far-flung knowledge. (3) AI as Empirical Inquiry: we must test our ideas experimentally, on large problems. Each of these three hypotheses proposes a particular threshold to cross, which leads to a qualitative change in emergent intelligence. Together, they determine a direction for future AI research.","doi":null,"url":"https://ijcai.org/proceedings/1987/240","pdf":"https://ijcai.org/proceedings/1987/0240.pdf","markdown":"https://ijcai.org/proceedings/1987/240.md","bibtex":"https://ijcai.org/proceedings/1987/bibtex/240","volume":{"slug":"1987","title":"Proceedings of the Tenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1987","url":"https://ijcai.org/proceedings/1987/","year":1987,"location":"Milan, Italy","dates":"","editors":"John McDermott","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Panels and Invited Talks","track":"Panels and Invited Talks","number":240,"pages":{"first":1173,"last":1181},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}