{"type":"ScholarlyArticle","title":"Three Facets of Scientific Discovery","authors":[{"name":"Pat Langley","slug":"pat-langley","given":"Pat","family":"Langley","affiliation":""},{"name":"Jan M. Zytkow","slug":"jan-m-zytkow","given":"Jan M.","family":"Zytkow","affiliation":""},{"name":"Gary L. Bradshaw","slug":"gary-l-bradshaw","given":"Gary L.","family":"Bradshaw","affiliation":""},{"name":"Herbert A. Simon","slug":"herbert-a-simon","given":"Herbert A.","family":"Simon","affiliation":""}],"abstract":"Scientific discovery is a complex process, and in this paper we consider three of its many facets - discovering laws of qualitative structure, finding quantitative relations between variables, and formulating structural models of reactions. We describe three discovery systems - GLAUBER , BACON, and DALTON - th2t address these three aspects of the scientific process. GLAUBER forms classes of objects based on regularities in qualita tive data, and stat es abstract laws in terms of these classes. BACON includes heuristics for finding numerical laws. for postulating intrinsic properties, and for noting common dil•isors. 01\\L TON formulates molecular models that account for obsen•ed reactions, taking advantage of theoretical assumptions to direct its search if th ey are available. We show how each of the programs is capable of rediscovering laws or models that were found in the early days of chemistry. Finally, we consider some possible interactions between these systems, and the need for an integrated theory of discovery.","doi":null,"url":"https://ijcai.org/proceedings/1983/114","pdf":"https://ijcai.org/proceedings/1983/0114.pdf","markdown":"https://ijcai.org/proceedings/1983/114.md","bibtex":"https://ijcai.org/proceedings/1983/bibtex/114","volume":{"slug":"1983","title":"Proceedings of the Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1983","url":"https://ijcai.org/proceedings/1983/","year":1983,"location":"Karlsruhe, West Germany","dates":"","editors":"Alan Bundy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Learning and Knowledge Acquisition","track":"Learning and Knowledge Acquisition","number":114,"pages":{"first":465,"last":467},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}