Overview
- Nominated as an outstanding PhD thesis by Delft University of Technology, Netherlands
- Reports on cutting-edge findings into the design of automated negotiators
- Describes several methodologies for evaluating and comparing negotiation strategies and components
- The dissertation won the 2014 Victor Lesser Distinguished Dissertation Runner-up Award
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Theses (Springer Theses)
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Keywords
- Opponent Modeling in Negotiation
- Negotiation Competition
- Negotiation Acceptance Strategy
- Component-based Automated Negotiator
- Modeling Techniques in Negotiation
- Optimal Concession Curves
- Decision Support Systems for Automated Negotiation
- Negotiation Support Systems
- Bilateral Negotiations
- Automated Negotiating Agents Competitions (ANAC)
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Exploring the Strategy Space of Negotiating Agents
Book Subtitle: A Framework for Bidding, Learning and Accepting in Automated Negotiation
Authors: Tim Baarslag
Series Title: Springer Theses
DOI: https://doi.org/10.1007/978-3-319-28243-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28242-8Published: 08 February 2016
Softcover ISBN: 978-3-319-80305-0Published: 30 March 2018
eBook ISBN: 978-3-319-28243-5Published: 21 January 2016
Series ISSN: 2190-5053
Series E-ISSN: 2190-5061
Edition Number: 1
Number of Pages: XXI, 276
Number of Illustrations: 37 b/w illustrations, 21 illustrations in colour
Topics: Robotics and Automation, Artificial Intelligence, Economic Theory/Quantitative Economics/Mathematical Methods