A parallel, multi-issue negotiation model in dynamic e-markets

Authors:
Fenghui Ren;Minjie Zhang;Xudong Luo;Danny Soetanto
Affiliations:
School of Computer Science and Software Engineering, University of Wollongong, Australia;School of Computer Science and Software Engineering, University of Wollongong, Australia;School of Computer Engineering, Nanyang Technological University, Singapore;School of Electrical, Computer and Telecom Engineering, University of Wollongong, Australia
Venue:
AI'11 Proceedings of the 24th international conference on Advances in Artificial Intelligence
Year:
2011

Citing 11
Cited 1

Multi-issue negotiation under time constraints

Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
A hybrid model for sharing information between fuzzy, uncertain and default reasoning models in multi-agent systems

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Multi-attribute Utility Theoretic Negotiation for Electronic Commerce

Agent-Mediated Electronic Commerce III, Current Issues in Agent-Based Electronic Commerce Systems (includes revised papers from AMEC 2000 Workshop)
An agenda-based framework for multi-issue negotiation

Artificial Intelligence
Multi-Attribute Dynamic Pricing for Online Markets Using Intelligent Agents

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Coordinating Multiple Concurrent Negotiations

AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
A multilateral multi-issue negotiation protocol

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Approximate and online multi-issue negotiation

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
A pareto optimal model for automated multi-attribute negotiations

Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Adaptive conceding strategies for automated trading agents in dynamic, open markets

Decision Support Systems
An analysis of feasible solutions for multi-issue negotiation involving nonlinear utility functions

Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2

Tasks for agent-based negotiation teams: Analysis, review, and challenges

Engineering Applications of Artificial Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

Negotiating agents play a key role in e-markets and become more popular. However, in much existing work, the e-markets are assumed to be closed and static, which is unrealistic. To address the issue, this paper developed negotiating agents that can adapt their negotiation strategies, outcome expectations, offer evaluations, and counter-offers generations in dynamic, open e-markets. Also, the proposed agents can generate multiple counter-offers according to different preferences so as to further improve their negotiation outcomes. Finally, the experimental results show the improvements on agents' profits by employing our negotiation model.