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

Autor Tim Baarslag
en Limba Engleză Hardback – 8 feb 2016
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.


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Specificații

ISBN-13: 9783319282428
ISBN-10: 3319282425
Pagini: 338
Ilustrații: XXI, 276 p. 58 illus., 21 illus. in color.
Dimensiuni: 155 x 235 x 18 mm
Greutate: 0.59 kg
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Springer Theses

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

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.

Textul de pe ultima copertă

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.

Caracteristici

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