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

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.

Authors 5

1. Anıl Doğru

   Özyeğin University

   Affiliation as printed

   Department of Computer Science, Özyeğin University, Istanbul, Turkiye

2. Mehmet Onur Keskin

   Özyeğin University

   Affiliation as printed

   Department of Computer Science, Özyeğin University, Istanbul, Turkiye

3. Catholijn M. Jonker Aachen

   Leiden University · Delft University of Technology

   Affiliation as printed

   Interactive Intelligence Group, Delft University of Technology, Delft, The Netherlands

   LIACS, Leiden University, The Netherlands

4. Tim Baarslag

   Centrum Wiskunde & Informatica

   Affiliation as printed

   Centrum Wiskunde & Informatica, Amsterdam, The Netherlands

5. Reyhan Aydoğan

   Özyeğin University · Delft University of Technology

   Affiliation as printed

   Department of Artificial Intelligence and Data Engineering, Özyeğin University, Istanbul, Turkiye

   Department of Computer Science, Özyeğin University, Istanbul, Turkiye

   Interactive Intelligence Group, Delft University of Technology, Delft, The Netherlands