NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components

Anıl Doğru; Mehmet Onur Keskin; Catholijn M. Jonker; Tim Baarslag; Reyhan Aydoğan

IJCAI 2024poster0 citations

NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components

Anıl Doğru, Mehmet Onur Keskin, Catholijn M. Jonker, Tim Baarslag, Reyhan Aydoğan

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.

Agent-based and Multi-agent Systems: MAS: Agreement technologies: Negotiation and contract-based systemsAgent-based and Multi-agent Systems: MAS: Agent-based simulation and emergence

BibTeX

@inproceedings{ijcai2024p998,
  title     = {NegoLog: An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components},
  author    = {Doğru, Anıl and Keskin, Mehmet Onur and Jonker, Catholijn M. and Baarslag, Tim and Aydoğan, Reyhan},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on
               Artificial Intelligence, {IJCAI-24}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Kate Larson},
  pages     = {8640--8643},
  year      = {2024},
  month     = {8},
  note      = {Demo Track},
  doi       = {10.24963/ijcai.2024/998},
  url       = {https://doi.org/10.24963/ijcai.2024/998},
}