Machine learning for intelligent support of conflict resolution
Decision Support Systems
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
Multi-issue negotiation under time constraints
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Designing the Market Game for a Trading Agent Competition
IEEE Internet Computing
A Service-Oriented Negotiation Model between Autonomous Agents
Proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World: Multi-Agent Rationality
Optimal Negotiation Strategies for Agents with Incomplete Information
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Argumentation-based negotiation
The Knowledge Engineering Review
A Negotiation Meta Strategy Combining Trade-off and Concession Moves
Autonomous Agents and Multi-Agent Systems
Intelligent agents for e-marketplace: negotiation with issue trade-offs by fuzzy inference systems
Decision Support Systems
An agent architecture for multi-attribute negotiation using incomplete preference information
Autonomous Agents and Multi-Agent Systems
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
Investigating the benefits of automated negotiations in enhancing people's negotiation skills
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Multi-issue negotiation protocol for agents: exploring nonlinear utility spaces
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Advantages of a leveled commitment contracting protocol
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Rational agents, contract curves, and inefficient compromises
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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In every negotiation with a deadline, one of the negotiating parties must accept an offer to avoid a break off. As a break off is usually an undesirable outcome for both parties, it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When designing such conditions, one is faced with the acceptance dilemma: accepting the current offer may be suboptimal, as better offers may still be presented before time runs out. On the other hand, accepting too late may prevent an agreement from being reached, resulting in a break off with no gain for either party. Motivated by the challenges of bilateral negotiations between automated agents and by the results and insights of the automated negotiating agents competition (ANAC), we classify and compare state-of-the-art generic acceptance conditions. We perform extensive experiments to compare the performance of various acceptance conditions in combination with a broad range of bidding strategies and negotiation scenarios. Furthermore we propose new acceptance conditions and we demonstrate that they outperform the other conditions. We also provide insight into why some conditions work better than others and investigate correlations between the properties of the negotiation scenario and the efficacy of acceptance conditions.