MCTS-based Automated Negotiation Agent (Extended Abstract)

Buron, Cédric, Guessoum, Zahia, Ductor, Sylvain

arXiv.org Artificial Intelligence 

Negotiation is a form of interaction in which a group of agents with conflicting interests and a desire to This paper introduces a new Negotiating Agent for cooperate try to reach a mutually acceptable agreement automated negotiation on continuous domains and on an object of negotiation [2]. The agents without considering a specified deadline. The agent explore solutions according to a predetermined protocol bidding strategy relies on Monte Carlo Tree Search, in order to find an acceptable agreement. Being which is a trendy method since it has been used with widely used in economic domains and with the rise of success on games with high branching factor such as e-commerce applications, the question of automating Go. It uses two opponent modeling techniques for negotiation has gained a lot of interest in the field of its bidding strategy and its utility: Gaussian process artificial intelligence and multi-agent systems.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found