NegoLog
An Integrated Python-based Automated Negotiation Framework with Enhanced Assessment Components
Anıl Doğru (Özyeğin University)
Mehmet Onur Keskin (Özyeğin University)
CM Jonker (TU Delft - Interactive Intelligence, Universiteit Leiden)
Tim Baarslag (Centrum Wiskunde & Informatica (CWI))
Reyhan Aydoğan (Özyeğin University, TU Delft - Interactive Intelligence)
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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.