Fr. 135.00

Exploring the Strategy Space of Negotiating Agents - A Framework for Bidding, Learning and Accepting in Automated Negotiation

Inglese · Tascabile

Spedizione di solito entro 6 a 7 settimane

Descrizione

Ulteriori informazioni

This book reports on an outstanding thesis that has significantlyadvanced the state-of-the-art in the area of automated negotiation. It givesnew practical and theoretical insights into the design and evaluation ofautomated negotiators. It describes an innovative negotiating agent frameworkthat enables systematic exploration of the space of possible negotiationstrategies by recombining different agent components. Using this framework, newand effective ways are formulated for an agent to learn, bid, and accept duringa negotiation. The findings have been evaluated in four annual instantiationsof the International Automated Negotiating Agents Competition (ANAC), theresults of which are also outlined here. The book also describes severalmethodologies for evaluating and comparing negotiation strategies andcomponents, with a special emphasis on performance and accuracy measures.

Sommario

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.

Riassunto

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.

Dettagli sul prodotto

Autori Tim Baarslag
Editore Springer, Berlin
 
Lingue Inglese
Formato Tascabile
Pubblicazione 01.01.2018
 
EAN 9783319803050
ISBN 978-3-31-980305-0
Pagine 276
Dimensioni 155 mm x 236 mm x 18 mm
Peso 462 g
Illustrazioni XXI, 276 p. 58 illus., 21 illus. in color.
Serie Springer Theses
Springer Theses
Categorie Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni

B, Künstliche Intelligenz, Robotics, Artificial Intelligence, Wirtschaftstheorie und -philosophie, Automation, engineering, Economic theory & philosophy, Economic Theory, Quantitative Economics, Control, Robotics, Automation, Robotics and Automation, Economic Theory/Quantitative Economics/Mathematical Methods

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