Agent-mediated electronic commerce: issues, challenges and some viewpoints
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Communications of the ACM
An XML framework for agent-based E-commerce
Communications of the ACM
Hermes: supporting argumentative discourse in multi-agent decision making
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Agents and the UML: A Unified Notation for Agents and Multi-agent Systems?
AOSE '01 Revised Papers and Invited Contributions from the Second International Workshop on Agent-Oriented Software Engineering II
Agents' roles in B2C e-commerce
AI Communications
A Multi-Agent Negotiation Testbed for Contracting Tasks with Temporal and Precedence Constraints
International Journal of Electronic Commerce
Agent-Based Social Simulation and Modeling in Social Computing
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
The Agent Modeling Language (AMOLA)
AIMSA '08 Proceedings of the 13th international conference on Artificial Intelligence: Methodology, Systems, and Applications
Information Sciences: an International Journal
On the development of a web-based system for transportation services
Information Sciences: an International Journal
Overhearing and direct interactions: point of view of an active environment
E4MAS'05 Proceedings of the 2nd international conference on Environments for Multi-Agent Systems
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This paper describes an agent- based artificial market system whose underlying interaction protocols provide advanced features. Using the system, actors (i. e., customers and merchants) can delegate a variety of tasks to personal intelligent agents that act as their artificial employees. Contrary to other approaches, where a new agent is launched when their associated actors intend to perform a buying or selling transaction and “lives” only while this transaction is processed, our approach builds on a personalization of agents that permanently “live” in the market representing their actors' interests. Beyond just requesting and proposing an offer, agents in our system maintain a profile of their owners, which is updated upon the actor- agent interaction type. Furthermore, they can proactively ask their owners permission to initiate a transaction (e. g., when a new product, which match ones profile, appears in the market). The system is also enabled with a highly interactive multiple criteria decision making tool that can handle ill- structured information during a purchase transaction, and perform a progressive synthesis and comparative evaluation of the existing proposals.