Exploring the Strategy Space of Negotiating Agents, Softcover reprint of the original 1st ed. 2016 A Framework for Bidding, Learning and Accepting in Automated Negotiation Springer Theses Series
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.
Date de parution : 03-2018
Ouvrage de 276 p.
15.5x23.5 cm
Date de parution : 02-2016
Ouvrage de 276 p.
15.5x23.5 cm
Thème d’Exploring the Strategy Space of Negotiating Agents :
Mots-clés :
Opponent Modeling in Negotiation; Negotiation Competition; Negotiation Acceptance Strategy; Component-based Automated Negotiator; Modeling Techniques in Negotiation; Optimal Concession Curves; Decision Support Systems for Automated Negotiation; Negotiation Support Systems; Bilateral Negotiations; Automated Negotiating Agents Competitions (ANAC)