Bayesian learning in negotiation
International Journal of Human-Computer Studies - Evolution and learning in multiagent systems
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
A Comparative Study of Negotiation Decision Support Systems
HICSS '98 Proceedings of the Thirty-First Annual Hawaii International Conference on System Sciences - Volume 1
Argumentation-based negotiation
The Knowledge Engineering Review
Applying UML and Patterns: An Introduction to Object-Oriented Analysis and Design and Iterative Development (3rd Edition)
An agent architecture for multi-attribute negotiation using incomplete preference information
Autonomous Agents and Multi-Agent Systems
Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Negotiation Dynamics: Analysis, Concession Tactics, and Outcomes
IAT '07 Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Opponent modelling in automated multi-issue negotiation using Bayesian learning
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
A Generic Framework for Argumentation-Based Negotiation
CIA '07 Proceedings of the 11th international workshop on Cooperative Information Agents XI
Ontologies for supporting negotiation in e-commerce
Engineering Applications of Artificial Intelligence
A highly adaptive recommender system based on fuzzy logic for B2C e-commerce portals
Expert Systems with Applications: An International Journal
Infrastructures and tools for multiagent systems for the new generation of distributed systems
Engineering Applications of Artificial Intelligence
DipGame: A challenging negotiation testbed
Engineering Applications of Artificial Intelligence
Decision support for extensive form negotiation games
ISMIS'12 Proceedings of the 20th international conference on Foundations of Intelligent Systems
HANA: A Human-Aware Negotiation Architecture
Decision Support Systems
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This paper presents the design of an open architecture for heterogeneous negotiating agents. Both the system level architecture as well as the architecture for negotiating agents are provided. The main contribution of this paper is that it derives a precisely specified interface from these architectures that facilitates an easy integration of heterogeneous agents into the overall negotiation framework. The interface is defined as a set of adapters that allows for various levels of integration of agents into the system architecture. The functionality provided by the system architecture depends on the number of adapters that are implemented and used to connect an agent to this architecture, ranging from functionality to conduct a bilateral negotiation to functionality for computing agent internal performance measures such as the quality of an opponent model. The architecture is used as the basis of a competitive testbed which allows us to study various negotiating agents. The design yields a flexible negotiation framework that facilitates negotiating different domains potentially using different protocols whereas no details of the internal negotiating agent structure are enforced. An application of the framework is illustrated by integrating two agents from the literature.