{"type":"ScholarlyArticle","title":"Understanding and Measuring Collective Intelligence Across Different Cognitive Systems: An Information-Theoretic Approach","authors":[{"name":"Nader Chmait","slug":"nader-chmait","given":"Nader","family":"Chmait","affiliation":"Faculty of Information Technology , Monash University , Clayton , Melbourne , Vic. 3800 , Australia"}],"abstract":"We develop the idea of collective intelligence by analysing a range of factors hindering the effectiveness of interactive cognitive agents. We give insights into how to explore the potential of collectives across different cognitive systems (human, animal and machine) and research areas. The endeavour is to bridge the different research disciplines in which collective intelligence might occur and apply the studies of intelligence in AI to other fields, thereby cross-fertilising diverse areas of study ranging from business and management to social sciences and fundamental biology.","doi":"10.24963/ijcai.2017/745","url":"https://ijcai.org/proceedings/2017/745","pdf":"https://ijcai.org/proceedings/2017/0745.pdf","markdown":"https://ijcai.org/proceedings/2017/745.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/745","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":745,"pages":{"first":5171,"last":5172},"keywords":["Artificial Intelligence: artificial intelligence","Artificial Intelligence: cognitive science","Artificial Intelligence: agents and multi-agent systems"],"videos":[],"references":[{"position":1,"raw":"[Bonabeau, 2009] Eric Bonabeau. 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