Exploring the Strategy Space of Negotiating Agents

A Framework for Bidding, Learning and Accepting in Automated Negotiation
Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-80305-0
Verlag: Springer International Publishing

Buch, Englisch, 276 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 458 g

Reihe: Springer Theses

This book reports on an outstanding thesis that has significantly

advanced the state-of-the-art in the area of automated negotiation. It gives

new practical and theoretical insights into the design and evaluation of

automated negotiators. It describes an innovative negotiating agent framework

that enables systematic exploration of the space of possible negotiation

strategies by recombining different agent components. Using this framework, new

and effective ways are formulated for an agent to learn, bid, and accept during

a negotiation. The findings have been evaluated in four annual instantiations

of the International Automated Negotiating Agents Competition (ANAC), the

results of which are also outlined here. The book also describes several

methodologies for evaluating and comparing negotiation strategies and

components, with a special emphasis on performance and accuracy measures.

Zielgruppe

Research

Autoren/Hrsg.

Baarslag, Tim

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Wirtschaftstheorie, Wirtschaftsphilosophie

Inhaltsverzeichnis

Introduction.- Background.- A Component-based Architecture to Explore the Space of Negotiation Strategies.- Effective Acceptance Conditions.- Accepting Optimally with Incomplete Information.- Measuring the Performance of Online Opponent Models.- Predicting the Performance of Opponent Models.- A Quantitative Concession-Based Classification Method of Bidding Strategies.- Optimal Non-adaptive Concession Strategies.- Putting the Pieces Together.- Conclusion.