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Title
Exploring the strategy space of negotiating agents [electronic resource] : a framework for bidding, learning and accepting in automated negotiation / Tim Baarslag.
ISBN
9783319282435 (electronic book)
3319282433 (electronic book)
9783319282428
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xxi, 276 pages) : illustrations.
Item Number
10.1007/978-3-319-28243-5 doi
Call Number
QA76.76.I58
Dewey Decimal Classification
006.3
Summary
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.
Note
"Nominated as an outstanding PhD thesis by Delft University of Technology, The Netherlands."
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed January 29, 2016).
Series
Springer theses.
Available in Other Form
Print version: 9783319282428
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.
