{"type":"ScholarlyArticle","title":"Human-Like Agents for Repeated Negotiation","authors":[{"name":"Johnathan Mell","slug":"johnathan-mell","given":"Johnathan","family":"Mell","affiliation":"University of Southern California Los Angeles , CA , USA"}],"abstract":"Virtual agents have been used as tools in negotiation—from acting as mediators to manifesting as full-fledged conversational partners. Virtual agents are a powerful tool for teaching negotiation skills, but require an accurate model of human behavior to perform well both as partners and teachers. The work proposed here aims to expand the current horizon of virtual negotiating agents to utilize human-like strategies. Further agents developed using this framework should be cognizant of the social factors influencing negotiation, including reputation effects and the implications of long-term repeated relationships. A roadmap of current efforts to develop agent platforms and future expansions is discussed.","doi":"10.24963/ijcai.2017/754","url":"https://ijcai.org/proceedings/2017/754","pdf":"https://ijcai.org/proceedings/2017/0754.pdf","markdown":"https://ijcai.org/proceedings/2017/754.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/754","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":754,"pages":{"first":5189,"last":5190},"keywords":["Artificial Intelligence: computer science","Artificial Intelligence: agents and multi-agent systems"],"videos":[],"references":[{"position":1,"raw":"[Castelfranchi and Falcone, 1998] Cristiano Castelfranchi and Rino Falcone. 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