COLLAGEN: when agents collaborate with people
AGENTS '97 Proceedings of the first international conference on Autonomous agents
The Michigan Internet AuctionBot: a configurable auction server for human and software agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Helper agent: designing an assistant for human-human interaction in a virtual meeting space
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Channeled multicast for group communications
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Electric Elves: Applying Agent Technology to Support Human Organizations
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
Collaborative Kodama Agents with Automated Learning and Adapting for Personalized Web Searching
Proceedings of the Thirteenth Conference on Innovative Applications of Artificial Intelligence Conference
The Effects of Culture in Anonymous Negotiations: Experiment in Four Countries
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 1 - Volume 1
Influence of Culture and Explanation Facility on Performance of Negotiation Agents
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 1 - Volume 1
Towards a Formal Approach to Overhearing: Algorithms for Conversation Identification
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Protocols for Negotiating Complex Contracts
IEEE Intelligent Systems
Multi-agent based simulation: where are the agents?
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
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This paper introduces teams of personal agents that support users individually in electronic negotiations. These agents listen to the running negotiation and to each other to point out relevant information and compile advice for the user. In this frame, we first describe the architecture of this system and propose assistance interaction protocols to specify agent external behaviours in performing their tasks. Then, we discuss the semantic representation of agent communication and describe an abstraction layer to let agents understand user message issues. Our future work aims at improving these mechanisms and enriching them toward a full-fledged implementation.