大葉大學圖書館 |

Exploring the strategy space of negotiating agents[electronic resource] :a framework for bidding, learning and accepting in automated negotiation /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Exploring the strategy space of negotiating agents : a framework for bidding, learning and accepting in automated negotiation // by Tim Baarslag.
作者:	Baarslag, Tim.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	xxi, 276 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Intelligent agents (Computer software)
標題:	Engineering.
標題:	Robotics and Automation.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Economic Theory/Quantitative Economics/Mathematical Methods.
ISBN:	9783319282435
ISBN:	9783319282428
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-28243-5

Exploring the strategy space of negotiating agents[electronic resource] :a framework for bidding, learning and accepting in automated negotiation /
Baarslag, Tim.

Exploring the strategy space of negotiating agentsa framework for bidding, learning and accepting in automated negotiation /[electronic resource] :by Tim Baarslag. - Cham :Springer International Publishing :2016. - xxi, 276 p. :ill., digital ;24 cm. - Springer theses,2190-5053. - Springer theses..

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.

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.

ISBN: 9783319282435

Standard No.: 10.1007/978-3-319-28243-5doiSubjects--Topical Terms:

338958
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Exploring the strategy space of negotiating agents[electronic resource] :a framework for bidding, learning and accepting in automated negotiation /
LDR:02440nam a2200337 a 4500 001 456139
003 DE-He213
005 20160818162239.0
006 m d
007 cr nn 008maaau
008 161227s2016 gw s 0 eng d
020 $a 9783319282435 $q (electronic bk.)
020 $a 9783319282428 $q (paper)
024 7 $a 10.1007/978-3-319-28243-5 $2 doi
035 $a 978-3-319-28243-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.76.I58
072 7 $a TJFM1 $2 bicssc
072 7 $a TEC037000 $2 bisacsh
072 7 $a TEC004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a QA76.76.I58 $b B111 2016
100 1 $a Baarslag, Tim. $3 655082
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.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxi, 276 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer theses, $x 2190-5053
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 Intelligent agents (Computer software) $3 338958
650 1 4 $a Engineering. $3 372756
650 2 4 $a Robotics and Automation. $3 463885
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 463642
650 2 4 $a Economic Theory/Quantitative Economics/Mathematical Methods. $3 634752
710 2 $a SpringerLink (Online service) $3 463450
773 0 $t Springer eBooks
830 0 $a Springer theses. $3 463746
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-28243-5
950 $a Engineering (Springer-11647)