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C&C '99 Proceedings of the 3rd conference on Creativity & cognition
A Textbook of Belief Dynamics: Solutions to Exercises
A Textbook of Belief Dynamics: Solutions to Exercises
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
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AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
A Classification Structure for Automated Negotiations
WI-IATW '06 Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology
A survey of trust and reputation systems for online service provision
Decision Support Systems
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
2APL: a practical agent programming language
Autonomous Agents and Multi-Agent Systems
Towards an Open Negotiation Architecture for Heterogeneous Agents
CIA '08 Proceedings of the 12th international workshop on Cooperative Information Agents XII
An Agent Supports Constructivist and Ecological Rationality
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
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Artificial Intelligence
DipGame: a testbed for multiagent systems
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
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Artificial Intelligence
A graded BDI agent model to represent and reason about preferences
Artificial Intelligence
DipGame: A challenging negotiation testbed
Engineering Applications of Artificial Intelligence
Representing emotion and mood states for virtual agents
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
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In this paper we propose HANA, a software architecture for agents that need to bilaterally negotiate joint plans of action in realistic scenarios. These negotiations may involve humans and are repeated along time. The architecture is based on a BDI model that represents the uncertainty on the environment as graded beliefs, desires and intentions. The architecture is modular and can easily be extended by incorporating different models (e.g. trust, intimacy, personality, normative...) that update the set of beliefs, desires or intentions. The architecture is dynamic as it monitors the environment and updates the beliefs accordingly. We introduce an innovative search&negotiation method that facilitates HANA agents to cope with huge spaces of joint plans. This method implements an anytime search algorithm that generates partial plans to feed the negotiation process. At the same time the negotiation guides the search towards joint plans that are more likely to be accepted.