Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Trust and honour in information-based agency
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Towards an Open Negotiation Architecture for Heterogeneous Agents
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
Using arguments for making and explaining decisions
Artificial Intelligence
Pragmatic-strategic reputation-based decisions in BDI agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Genius: negotiation environment for heterogeneous agents
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Agent decision-making in open mixed networks
Artificial Intelligence
An Agent Architecture for Simultaneous Bilateral Negotiations
Proceedings of the 2010 conference on Artificial Intelligence Research and Development: Proceedings of the 13th International Conference of the Catalan Association for Artificial Intelligence
Infrastructures and tools for multiagent systems for the new generation of distributed systems
Engineering Applications of Artificial Intelligence
Running experiments on DipGame testbed (demonstration)
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
HANA: A Human-Aware Negotiation Architecture
Decision Support Systems
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There is a chronic lack of shared application domains to test advanced research models and agent negotiation architectures in Multiagent Systems. In this paper we introduce a friendly testbed for that purpose. The testbed is based on The Diplomacy Game where negotiation and the relationships between players play an essential role. The testbed profits from the existence of a large community of human players that know the game and can easily provide data for experiments. We explain the infrastructure in the paper and make it freely available to the AI community.