Punishing norm violations is considered an important motive during rejection of unfair offers in the ultimatum game (UG). The present study investigates the impact of the power to punish norm violations on people's responses to unfairness and associated neural correlates. In the UG condition participants had the power to punish norm violations, while an alternate condition, the impunity game (I...

The problem of unfair testimonies has to be addressed effectively to improve the robustness of reputation systems. We propose an integrated CLUstering-Based approach called iCLUB to filter unfair testimonies for reputation systems using multi-nominal testimonies, in multiagent-based electronic commerce. It adopts clustering and considers buying agents’ local and global knowledge about selling a...

This paper presents a novel context-based approach to filter out unfair recommendations for trust model in ubiquitous environments. Context is used in our approach to analyze the user’s activity, state and intention. Incremental learning based neural network is used to dispose the context in order to find doubtful recommendations. This approach has distinct advantages when dealing with randomly...

Developments of the World Wide Web and electronic commerce upset the traditional marketing schemes. This disruption is moderatly appreciated by the producers who have built " closed distribution " structures, such as exclusive concession or selective distribution networks ( ie within car industry sector (Peugeot, Rover...) and within the perfume sector (Chanel, Yves St Laurent...). These networ...

We investigated whether social value orientation (SVO) moderates the effects of intuitive versus reflective information processing on responses to unfair offers. We measured SVO one week prior to an ultimatum game experiment in which participants had to accept or reject a series of 10 ultimatum offers including very low (unfair) ones. Before making these decisions, participants mentally contras...