© 2016

Exploring the Strategy Space of Negotiating Agents

A Framework for Bidding, Learning and Accepting in Automated Negotiation


Part of the Springer Theses book series (Springer Theses)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Tim Baarslag
    Pages 1-14
  3. Tim Baarslag
    Pages 15-52
  4. Tim Baarslag
    Pages 71-89
  5. Tim Baarslag
    Pages 167-180
  6. Tim Baarslag
    Pages 181-194
  7. Tim Baarslag
    Pages 195-214
  8. Back Matter
    Pages 215-276

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.


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)

Authors and affiliations

  1. 1.Fac Elec Engg, Maths&CS, Dept of IS, IIGDelft University of TechnologyDelftThe Netherlands

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
  • Series Abbreviated Title Springer Theses
  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-319-28242-8
  • Softcover ISBN 978-3-319-80305-0
  • eBook ISBN 978-3-319-28243-5
  • 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
  • Buy this book on publisher's site
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