Event Abstract

Fairness, trust & reciprocity in social decision-making

  • 1 Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Netherlands

Our lives consist of a constant stream of decisions and choices, from the mundane to the highly consequential. To date, the standard approach to experimentally examining decision-making has been to examine choices with clearly defined probabilities and outcomes, however it is an open question as to whether decision models describing these situations can be extended to choices that must be made by assessing the intentions and preferences both of oneself and of another social partner. This class of social decision-making offers a useful approach to examine more complex forms of decisions, which may in fact better approximate many of our real-life choices. I will present both behavioral and neural data from several experiments where we have used economic games to observe how players decide in real, consequential, social contexts. Additionally, these results can provide an interesting window into the cognitive and neural mechanisms of populations which have been typically characterized by suboptimal social decision-making, such as those suffering from traumatic brain injury, depression, and schizophrenia.

Keywords: Decision Making, social contexts, fairness, Trust, Cognitive Neuroimaging

Conference: Decision Neuroscience From Neurons to Societies, Berlin, Germany, 23 Sep - 25 Sep, 2010.

Presentation Type: Speaker

Topic: Decision Making and Disorders

Citation: Sanfey A (2010). Fairness, trust & reciprocity in social decision-making. Front. Neurosci. Conference Abstract: Decision Neuroscience From Neurons to Societies. doi: 10.3389/conf.fnins.2010.82.00043

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Received: 02 Sep 2010; Published Online: 10 Sep 2010.

* Correspondence: Dr. Alan Sanfey, Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Nijmegen, Netherlands, alan.sanfey@donders.ru.nl