Intelligent behaviour in animals and robots
Intelligent behaviour in animals and robots
Towards motivation-based decisions for worth goals
CEEMAS'03 Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems
Predicting partners' behaviors in negotiation by using regression analysis
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Partners selection in multi-agent systems by using linear and non-linear approaches
Transactions on computational science I
Expectation of trading agent behaviour in negotiation of electronic marketplace
Web Intelligence and Agent Systems
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Negotiation is key to resolving conflicts, allocating resources and establishing cooperation in systems of self-interested agents. Often, an agent may have to select between different potential negotiation partners, and identifying which offers the best chance of a successful negotiation is a challenging task. However, poor selection of partners can result in failure or in inefficient outcomes. To that end, this paper describes a motivation-based mechanism to evaluate and select between negotiation candidates. This is achieved by a twofold process: first, acceptable candidates are identified using motivation-based thresholds on objective scoring measures; second, the importance of issues is considered, and expected performance measures are evaluated accordingly. The mechanism is described and empirically evaluated.