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Exploring the strategy space of nego...

Baarslag, Tim.

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Exploring the strategy space of negotiating agents = a framework for bidding, learning and accepting in automated negotiation /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Exploring the strategy space of negotiating agents/ by Tim Baarslag.
其他題名:	a framework for bidding, learning and accepting in automated negotiation /
作者:	Baarslag, Tim.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xxi, 276 p. :ill., digital ;24 cm.
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.
Contained By:	Springer eBooks
標題:	Intelligent agents (Computer software) -
電子資源:	http://dx.doi.org/10.1007/978-3-319-28243-5
ISBN:	9783319282435$q(electronic bk.)

Exploring the strategy space of negotiating agents = 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$q(electronic bk.)

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

567546
Intelligent agents (Computer software)

LC Class. No.: QA76.76.I58

Dewey Class. No.: 006.3

Exploring the strategy space of negotiating agents = a framework for bidding, learning and accepting in automated negotiation /
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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.
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