{"type":"ScholarlyArticle","title":"A Cognitively Inspired Approach for Knowledge Representation and Reasoning in Knowledge-Based Systems","authors":[{"name":"Joel Luis Carbonera","slug":"joel-luis-carbonera","given":"Joel Luis","family":"Carbonera","affiliation":""},{"name":"Mara Abel","slug":"mara-abel","given":"Mara","family":"Abel","affiliation":""}],"abstract":"In this thesis, I investigate a hybrid knowledge representation approach that combines classic knowledge representations, such as rules and ontologies, with other cognitively plausible representations, such as prototypes and exemplars. The resulting framework can combine the strengths of each approach of knowledge representation, avoiding their weaknesses. It can be used for developing knowledge-based systems that combine logic-based reasoning and similarity-based reasoning in problem-solving processes.","doi":null,"url":"https://ijcai.org/proceedings/2015/622","pdf":"https://ijcai.org/proceedings/2015/0622.pdf","markdown":"https://ijcai.org/proceedings/2015/622.md","bibtex":"https://ijcai.org/proceedings/2015/bibtex/622","volume":{"slug":"2015","title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2015","url":"https://ijcai.org/proceedings/2015/","year":2015,"location":"Buenos Aires, Argentina","dates":"25–31 July 2015","editors":"Qiang Yang and Michael Wooldridge","isbn":"978-1-57735-738-4","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":622,"pages":{"first":4349,"last":4349},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}