Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation

Authors:
Zaynab Raeesy;Jakub Brzostwoski;Ryszard Kowalczyk
Affiliations:
-;-;-
Venue:
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Year:
2007

Citing 0
Cited 8

Towards an Open Negotiation Architecture for Heterogeneous Agents

CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
Develop a negotiation framework for automating B2B processes in the RosettaNet environment using fuzzy technology

Computers and Industrial Engineering
A framework for building intelligent SLA negotiation strategies under time constraints

GECON'10 Proceedings of the 7th international conference on Economics of grids, clouds, systems, and services
A Fuzzy Logic System for Bargaining in Information Markets

ACM Transactions on Intelligent Systems and Technology (TIST)
Buyer behavior adaptation based on a fuzzy logic controller and prediction techniques

Fuzzy Sets and Systems
A time-constrained SLA negotiation strategy in competitive computational grids

Future Generation Computer Systems
An extended Q-gram algorithm for calculating the relevance factor of products in electronic marketplaces

Electronic Commerce Research and Applications
On the use of particle swarm optimization and Kernel density estimator in concurrent negotiations

Information Sciences: an International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

Intelligent agents are applied to automate the process of negotiation. Typical multi-agent negotiation strategies only allow the exchange of precise quantitative values as attributes. In the real-world applications, many of the negotiation issues such as qualitative concepts, cannot be expressed by exact numeric values. In this paper, we propose a new fuzzy-based model for negotiation. Our model leads to a human-like negotiation, and enables negotiation parties to act flexibly.