NegoLog

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

Conference paper (2024)

Authors

Anıl Doğru Özyeğin University
Mehmet Onur Keskin Özyeğin University
C.M. Jonker Interactive Intelligence - EEMCS , Universiteit Leiden
Tim Baarslag Centrum Wiskunde & Informatica (CWI)
Reyhan Aydoğan Özyeğin University, Interactive Intelligence - EEMCS
Research Group
Interactive Intelligence (EEMCS) (TU Delft)
More Info
expand_more

Published Date

2024

Language

English

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

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.

Files

0998.pdf
(pdf | 0.56 Mb)
Unknown license