Acquiring user tradeoff strategies and preferences for negotiating agents: A default-then-adjust method

Acquiring user tradeoff strategies and preferences for negotiating agents: A default-then-adjust method (2006)

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by Xudong Luo , Nicholas R. Jennings , Nigel Shadbolt , Communicated E. Motta

Venue:	International Journal of Human Computer Studies
Citations:	3 - 1 self

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Datum	Value	Source
TITLE	Acquiring user tradeoff strategies and preferences for negotiating agents: A default-then-adjust method	SVM HeaderParse 0.2
AUTHOR NAME	Xudong Luo	SVM HeaderParse 0.2
AUTHOR AFFIL	Intelligence, Agents, Multimedia Group, School of Electronics and Computer Science	SVM HeaderParse 0.2
AUTHOR ADDR	University of Southampton, Southampton SO17 1BJ, UK	SVM HeaderParse 0.2
AUTHOR NAME	Nicholas R. Jennings	SVM HeaderParse 0.2
AUTHOR AFFIL	Intelligence, Agents, Multimedia Group, School of Electronics and Computer Science	SVM HeaderParse 0.2
AUTHOR ADDR	University of Southampton, Southampton SO17 1BJ, UK	SVM HeaderParse 0.2
AUTHOR NAME	Nigel Shadbolt	SVM HeaderParse 0.2
AUTHOR AFFIL	Intelligence, Agents, Multimedia Group, School of Electronics and Computer Science	SVM HeaderParse 0.2
AUTHOR ADDR	University of Southampton, Southampton SO17 1BJ, UK	SVM HeaderParse 0.2
AUTHOR NAME	Communicated E. Motta	SVM HeaderParse 0.2
ABSTRACT	A wide range of algorithms have been developed for various types of negotiating agents. In developing such algorithms the main focus has been on their efficiency and their effectiveness. However, this is only a part of the picture. Typically, agents negotiate on behalf of their owners and for this to be effective the agents must be able to adequately represent their owners ’ strategies and preferences for negotiation. However, the process by which such knowledge is acquired is typically left unspecified. To address this problem, we undertook a study of how user information about negotiation tradeoff strategies and preferences can be captured. Specifically, we devised a novel default-then-adjust acquisition technique. In this, the system firstly does a structured interview with the user to suggest the attributes that the tradeoff could be made between, then it asks the user to adjust the suggested default tradeoff strategy by improving some attribute to see how much worse the attribute being traded off can be made while still being acceptable, and, finally, it asks the user to adjust the default preference on the tradeoff alternatives. This method is consistent with the principles of standard negotiation theory and to demonstrate its effectiveness we implemented a prototype system and performed an empirical evaluation in an accommodation renting scenario. The result of this evaluation indicates the proposed technique is helpful and efficient in accurately acquiring the users’ tradeoff strategies and preferences.	SVM HeaderParse 0.2
YEAR	2006	INFERENCE
VENUE	International Journal of Human Computer Studies	INFERENCE
VENUE TYPE	JOURNAL	INFERENCE
PAGES	304--321	INFERENCE
VOLUME	64	INFERENCE
CITATIONS	52 found	ParsCit 1.0