TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-319-28243-5
DO  - doi
AB  - 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.
T1  - Exploring the strategy space of negotiating agentsa framework for bidding, learning and accepting in automated negotiation /
AU  - Baarslag, Tim,
CN  - QA76.76.I58
N1  - "Nominated as an outstanding PhD thesis by Delft University of Technology, The Netherlands."
ID  - 753469
KW  - Intelligent agents (Computer software)
SN  - 9783319282435
SN  - 3319282433
TI  - Exploring the strategy space of negotiating agentsa framework for bidding, learning and accepting in automated negotiation /
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-28243-5
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-28243-5
ER  -