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Reaching unanimous agreements within agent-based negotiation teams with linear and monotonic utility functions
Victor Sanchez-Anguix1, Vicente Julian, Vicente Botti
1Departamento de Sistemas Informáticos y Computación, Universidad Politécnica de Valencia, Valencia, Spain. sanguix@dsic.upv.es
Summary
This study introduces an agent-based negotiation model for teams, ensuring unanimous decisions through a trusted mediator. The model guarantees team member satisfaction and analyzes its robustness against manipulation.
Area of Science:
- Artificial Intelligence
- Multi-Agent Systems
- Game Theory
Background:
- Negotiations often involve teams with shared interests.
- Coordinating decisions within negotiation teams can be complex.
- Existing models may not guarantee consensus or handle team dynamics effectively.
Purpose of the Study:
- To present a novel agent-based negotiation model for teams.
- To ensure unanimous decision-making within negotiation teams.
- To analyze the model's robustness and evaluate its parameters empirically.
Main Methods:
- Development of an agent-based negotiation model.
- Inclusion of a trusted mediator to coordinate team decisions.
- Analysis of decision-making processes for unanimity.
- Empirical evaluation of model parameters and robustness against manipulation.
Main Results:
- The proposed model guarantees unanimous decisions in each negotiation round.
- Decisions ensure team members' utility meets or exceeds their aspiration levels.
- Analysis reveals the model's robustness against various manipulation tactics.
Conclusions:
- The agent-based negotiation model effectively facilitates unanimous team decisions.
- The mediator plays a crucial role in coordinating and ensuring satisfaction.
- The model provides a robust framework for team negotiations.
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