Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Bargaining theory with applications
Bargaining theory with applications
Vicious strategies for Vickrey auctions
Proceedings of the fifth international conference on Autonomous agents
A Framework for Argumentation-Based Negotiation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
A Dialogue Game Protocol for Agent Purchase Negotiations
Autonomous Agents and Multi-Agent Systems
Towards interest-based negotiation
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
AMELI: An Agent-Based Middleware for Electronic Institutions
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
A Logical Model for Commitment and Argument Network for Agent Communication
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Argumentation-based negotiation
The Knowledge Engineering Review
The Knowledge Engineering Review
Formal handling of threats and rewards in a negotiation dialogue
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Sequential auctions for objects with common and private values
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Handling threats, rewards, and explanatory arguments in a unified setting: Research Articles
International Journal of Intelligent Systems
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
STRATUM: A METHODOLOGY FOR DESIGNING HEURISTIC AGENT NEGOTIATION STRATEGIES
Applied Artificial Intelligence
Argumentation in artificial intelligence
Artificial Intelligence
Dialogue games that agents play within a society
Artificial Intelligence
Altruism and agents: an argumentation based approach to designing agent decision mechanisms
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
A formal analysis of interest-based negotiation
Annals of Mathematics and Artificial Intelligence
A taxonomy of argumentation models used for knowledge representation
Artificial Intelligence Review
Simulation experiences with an ecological approach for pervasive service systems
Proceedings of the 2nd workshop on Bio-inspired algorithms for distributed systems
A self-organizing architecture for pervasive ecosystems
SOAR'09 Proceedings of the First international conference on Self-organizing architectures
Using argumentation to model agent decision making in economic experiments
Autonomous Agents and Multi-Agent Systems
Artificial Intelligence
The learning of an opponent's approximate preferences in bilateral automated negotiation
Journal of Theoretical and Applied Electronic Commerce Research
Journal of Theoretical and Applied Electronic Commerce Research
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Negotiation is a fundamental interaction mechanism in multi-agent systems because it allows self-interested agents to come to mutually beneficial agreements and partition resources efficiently and effectively. Now, in many situations, the agents need to negotiate with one another many times and so developing strategies that are effective over repeated interactions is an important challenge. Against this background, a growing body of work has examined the use of Persuasive Negotiation (PN), which involves negotiating using rhetorical arguments (such as threats, rewards, or appeals), in trying to convince an opponent to accept a given offer. Such mechanisms are especially suited to repeated encounters because they allow agents to influence the outcomes of future negotiations, while negotiating a deal in the present one, with the aim of producing results that are beneficial to both parties. To this end, in this paper, we develop a comprehensive PN mechanism for repeated interactions that makes use of rewards that can be asked for or given to. Our mechanism consists of two parts. First, a novel protocol that structures the interaction by capturing the commitments that agents incur when using rewards. Second, a new reward generation algorithm that constructs promises of rewards in future interactions as a means of permitting agents to reach better agreements, in a shorter time, in the present encounter. We then go on to develop a specific negotiation tactic, based on this reward generation algorithm, and show that it can achieve significantly better outcomes than existing benchmark tactics that do not use such inducements. Specifically, we show, via empirical evaluation in a Multi-Move Prisoners' Dilemma setting, that our tactic can lead to a 26% improvement in the utility of deals that are made and that 21 times fewer messages need to be exchanged in order to achieve this.