Abstract
The proliferation of web technologies has made it increasingly important to make the traditional negotiation pricing mechanism automated and intelligent. Negotiation is although a complex activity to automate without human intervention but the software agents when enhanced with learning techniques can better simulate the human intelligence and increase the profits of their owners. Prediction of partner's behaviour in negotiation will not only improve the utility gain for the adaptive negotiation agent but also achieve the agreement much quicker. The basic concept is that the information about negotiators, their individual actions and dynamics can be used by software agents who are equipped with adaptive capabilities so that they can learn from past negotiations and provide assistance for selection of appropriate negotiation tactics. In this paper an automated negotiation system has been proposed which is capable of predicting the strategy and the preferences of the opponent.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Internet Protocol Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
