CUHKAgent2015: An adaptive negotiation strategy in multilateral scenario

1Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Automated negotiation has been an active research topic. Many previous works try to model opponents’ behaviours using some mathematical functions. However, this approach turns out not to be very effective due to inaccessibility of information and dynamics of the negotiation environment. In this paper,we introduce an adaptive strategy for automated negotiation.We propose that only the concession degree of the opponent is estimated in the negotiation.We also use an adaptive nonexploitation point on the timeline of negotiation for stopping making concession to the opponent. Finally, we suggest that the bid that we propose should be as close to the Pareto Frontier of the bids as possible. The agent CUHKAgent2015 that is based on this strategy showed good performance in ANAC 2015.

Author supplied keywords

Cite

CITATION STYLE

APA

Ng, C. W., Leung, H. T., & Leung, H. F. (2017). CUHKAgent2015: An adaptive negotiation strategy in multilateral scenario. Studies in Computational Intelligence, 674, 243–250. https://doi.org/10.1007/978-3-319-51563-2_20

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free