Foundations of distributed artificial intelligence
Foundations of distributed artificial intelligence
KQML as an agent communication language
Software agents
The emerging role of electronic marketplaces on the Internet
Communications of the ACM
Efficient mechanisms for the supply of services in multi-agent environments
Proceedings of the first international conference on Information and computation economies
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Agents' Advanced Features for Negotiation and Coordination
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
A Shopping Negotiation Agent That Adapts to User Preferences
AMT '01 Proceedings of the 6th International Computer Science Conference on Active Media Technology
An Agent Based Approach to Virtual Market Place Simulation
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
An Agent-based Evaluation Framework for Supporting Virtual Enterprise Formation
WETICE '03 Proceedings of the Twelfth International Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises
A Mobile Negotiation Agent Embedded Hybrid Online Purchasing System
ICDCSW '04 Proceedings of the 24th International Conference on Distributed Computing Systems Workshops - W7: EC (ICDCSW'04) - Volume 7
Negotiation of Service Level Agreements: An Architecture and a Search-Based Approach
ICSOC '07 Proceedings of the 5th international conference on Service-Oriented Computing
E-Business Process Modelling with Finite State Machine Based Service Agents
Computer Supported Cooperative Work in Design IV
Agent interaction protocols for the selection of partners for virtual enterprises
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Making electronic contracting operational and trustworthy
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
A multi-agent approach for adaptive virtual organization using JADE
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
Towards an institutional environment using norms for contract performance
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
A direct reputation model for VO formation
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
A case study of agent-based virtual enterprise modelling
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
Virtual enterprise normative framework within electronic institutions
ESAW'04 Proceedings of the 5th international conference on Engineering Societies in the Agents World
An adaptive reputation model for VOs
MATES'05 Proceedings of the Third German conference on Multiagent System Technologies
| Hi-index | 0.00 |
Electronic Commerce technology has changed the way traditional business is being done. Transactions' complexity is increased due both to the huge amount of available information and also to the environment dynamics. Moreover, Electronic Commerce has enabled the arising of new economical structures, as it is the case of Virtual Organisations. Our research aims at providing flexible and general-purpose systems for intelligent negotiation, both for Electronic Commerce and Virtual Organisation formation. This paper proposes an Electronic Market architecture implemented through a Multi-Agent system. This architecture includes both a specific market agent which plays the role of market coordinator, as well as agents representing the individual business partners with their own goals and strategies. We also include a sophisticated negotiation protocol through multi-criteria and distributed constraint formalisms. An online, continuous reinforcement learning algorithm has been designed to enable agents to adapt themselves according to the changing environment, including the competitor agents.