Cargando…

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

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 e...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Baarslag, Tim (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:Springer Theses, Recognizing Outstanding Ph.D. Research,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-28243-5
003 DE-He213
005 20220120084524.0
007 cr nn 008mamaa
008 160121s2016 sz | s |||| 0|eng d
020 |a 9783319282435  |9 978-3-319-28243-5 
024 7 |a 10.1007/978-3-319-28243-5  |2 doi 
050 4 |a TJ212-225 
050 4 |a TJ210.2-211.495 
072 7 |a TJFM  |2 bicssc 
072 7 |a TEC037000  |2 bisacsh 
072 7 |a TJFM  |2 thema 
082 0 4 |a 629.8  |2 23 
100 1 |a Baarslag, Tim.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Exploring the Strategy Space of Negotiating Agents  |h [electronic resource] :  |b A Framework for Bidding, Learning and Accepting in Automated Negotiation /  |c by Tim Baarslag. 
250 |a 1st ed. 2016. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2016. 
300 |a XXI, 276 p. 58 illus., 21 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5061 
505 0 |a 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. 
520 |a 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. 
650 0 |a Control engineering. 
650 0 |a Robotics. 
650 0 |a Automation. 
650 0 |a Artificial intelligence. 
650 0 |a Econometrics. 
650 1 4 |a Control, Robotics, Automation. 
650 2 4 |a Artificial Intelligence. 
650 2 4 |a Quantitative Economics. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319282428 
776 0 8 |i Printed edition:  |z 9783319282442 
776 0 8 |i Printed edition:  |z 9783319803050 
830 0 |a Springer Theses, Recognizing Outstanding Ph.D. Research,  |x 2190-5061 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-28243-5  |z Texto Completo 
912 |a ZDB-2-ENG 
912 |a ZDB-2-SXE 
950 |a Engineering (SpringerNature-11647) 
950 |a Engineering (R0) (SpringerNature-43712)