Combining rule-based and plug-in components in agents for flexible dynamic negotiations

Authors:
Costin Bădică;Maria Ganzha;Marcin Paprzycki;Amalia Pîrvănescu
Affiliations:
Software Engineering Department, University of Craiova, Craiova, Romania;Department of Informatics, Gizycko Private Higher Educational Institute, Gizycko, Poland;Computer Science Department, Oklahoma State University, Tulsa, OK;Software Engineering Department, University of Craiova, Craiova, Romania
Venue:
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Year:
2005

Citing 5
Cited 2

Understanding Code Mobility

IEEE Transactions on Software Engineering
Semantic web support for the business-to-business e-commerce lifecycle

Proceedings of the 11th international conference on World Wide Web
Introduction to Multiagent Systems

Introduction to Multiagent Systems
An Ontology Based Approach to Automated Negotiation

AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
A software framework for automated negotiation

Software Engineering for Multi-Agent Systems III

Implementing rule-based mechanisms for agent-based price negotiations

Proceedings of the 2006 ACM symposium on Applied computing
Rule-Based automated price negotiation: overview and experiment

ICAISC'06 Proceedings of the 8th international conference on Artificial Intelligence and Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

For software agents to become part of e-commerce they have to be flexible—to engage in negotiations of forms which are not known in advance, and mobile—to migrate to remote locations. This note aims at combining flexibility with mobility by joining rule-based mechanism representation with modular mobile agents. Furthermore, we focus on a more complete e-commerce scenario and address questions like: what happens before negotiations start and after they are finished, where from the purchase is actually made etc. Description of agent interactions in such a complete e-commerce scenario is presented.