{"type":"ScholarlyArticle","title":"NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components","authors":[{"name":"Anıl Doğru","slug":"an-l-dogru","given":"Anıl","family":"Doğru","affiliation":"Department of Computer Science , Özyegin University , Istanbul , Turkiye"},{"name":"Mehmet Onur Keskin","slug":"mehmet-onur-keskin","given":"Mehmet Onur","family":"Keskin","affiliation":"Department of Computer Science , Özyegin University , Istanbul , Turkiye"},{"name":"Catholijn M. Jonker","slug":"catholijn-m-jonker","given":"Catholijn M.","family":"Jonker","affiliation":"Interactive Intelligence Group , Delft University of Technology , Delft , The Netherlands; LIACS , Leiden University , The Netherlands"},{"name":"Tim Baarslag","slug":"tim-baarslag","given":"Tim","family":"Baarslag","affiliation":"Centrum Wiskunde & Informatica , Amsterdam , The Netherlands"},{"name":"Reyhan Aydoğan","slug":"reyhan-aydogan","given":"Reyhan","family":"Aydoğan","affiliation":"Department of Computer Science , Özyegin University , Istanbul , Turkiye; Interactive Intelligence Group , Delft University of Technology , Delft , The Netherlands; Department of Artificial Intelligence and Data Engineering , Özyegin University , Istanbul , Turkiye"}],"abstract":"The complexity of automated negotiation research calls for dedicated, user-friendly research frameworks that facilitate advanced analytics, comprehensive loggers, visualization tools, and auto-generated domains and preference profiles. This paper introduces NegoLog, a platform that provides advanced and customizable analysis modules to agent developers for exhaustive performance evaluation. NegoLog introduces an automated scenario and tournament generation tool in its Web-based user interface so that the agent developers can adjust the competitiveness and complexity of the negotiations. One of the key novelties of the NegoLog is an individual assessment of preference estimation models independent of the strategies.","doi":"10.24963/ijcai.2024/998","url":"https://ijcai.org/proceedings/2024/998","pdf":"https://ijcai.org/proceedings/2024/0998.pdf","markdown":"https://ijcai.org/proceedings/2024/998.md","bibtex":"https://ijcai.org/proceedings/2024/bibtex/998","volume":{"slug":"2024","title":"Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2024","url":"https://ijcai.org/proceedings/2024/","year":2024,"location":"Jeju, Korea","dates":"3-9 August 2024","editors":"Kate Larson","isbn":"978-1-956792-04-1","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2024"},"section":"Demo Track","track":"Demo Track","number":998,"pages":{"first":8640,"last":8643},"keywords":["Agent-based and Multi-agent Systems: MAS: Agreement technologies: Negotiation and contract-based systems","Agent-based and Multi-agent Systems: MAS: Agent-based simulation and emergence"],"videos":[],"references":[{"position":1,"raw":"[Aydogan et al., 2017] Reyhan Aydogan, David Festen, Koen V. 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