TITLE:
Dynamic Time-Dependent Strategy Model for Predicting Human’s Offer in E-Commerce Negotiation
AUTHORS:
Mukun Cao
KEYWORDS:
Automated Negotiation, Negotiating Agent, Negotiation Strategy
JOURNAL NAME:
Open Journal of Social Sciences,
Vol.4 No.7,
July
30,
2016
ABSTRACT: Human-computer
negotiation plays an important role in B2C e-commerce. There is a paucity of
further scientific investigation and a pressing need on designing the software
agent that can deal with the human’s random and dynamic offer, which is
crucially useful in human-computer negotiation to achieve better online
negotiation outcomes. The lack of such studies has decelerated the process of
applying automated negotiation to real world applications. To address the
critical issue, this paper develops a dynamic time-dependent strategy
concession model, that can predict the human’s negotiation behavior during the
process of the negotiation. To demonstrate the effectiveness of this model, we
implement a prototype and conduct human-computer negotiations over 121
subjects. The experimental analysis not only confirms our model’s effect but
also reveals some insights into future work about human-computer negotiation
systems.