An Approach to Coalition Formation Using Argumentation-Based Negotiation in Multi-agent Systems

Authors:
Hiromitsu Hattori;Takayuki Ito;Tadachika Ozono;Toramatsu Shintani
Affiliations:
-;-;-;-
Venue:
Proceedings of the 14th International conference on Industrial and engineering applications of artificial intelligence and expert systems: engineering of intelligent systems
Year:
2001

Citing 5
Cited 2

Reaching agreements through argumentation: a logical model and implementation

Artificial Intelligence
Multiagent systems: a modern approach to distributed artificial intelligence

Multiagent systems: a modern approach to distributed artificial intelligence
A Framework for Argumentation-Based Negotiation

ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Agent-Mediated Integrative Negotiation for Retail Electronic Commerce

AMET '98 Selected Papers from the First International Workshop on Agent Mediated Electronic Trading on Agent Mediated Electronic Commerce
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver

IEEE Transactions on Computers

Modelling coalitions: ATL + argumentation

Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 2
An Argumentative Approach for Modelling Coalitions Using ATL

Argumentation in Multi-Agent Systems

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, we propose an argumentation-based negotiation method for coalition formation. In existing argumentation method, it is difficult for an agent to calculate the effectiveness of each proposal, since agents are constructed based only on a logical framework. In our method, agents can calculate the effectiveness using a mechanism which can evaluate arguments. In order to evaluate the arguments, we prepare certain functions, so we employ the AHP. During the negotiation, agents can create the most effective proposal and change a negotiation strategy autonomously. An advantage of our method is that agents can reach an agreement reflecting user's multiple valuations, and the negotiation among agents is completed quickly. Another advantage is that if agents have no need to create proposals, each user's private data is not opened to others during the negotiation.