Processing and Analysing Experimental Data Using a Tensor-Based Method: Evidence from an Ultimatum Game Study

This work investigates how newer economic behavioural research can be applied to human group behaviour and how it can be enriched using a relatively novel knowledge discovery approach. Based on an ultimatum game study conducted in the context of an extra-lab experiment, the authors propose a tensorbased method to analyse their experimental results and, therefore, to address a multi-dimensional approach. The authors prove that subjects do not behave as game theory would predict, but rather they basically prefer fair divisions of gains. This evidence confirms significant implications for theories addressing the evolution of, and the mechanisms underpinning, human group behaviour in economics, cognitive, and organizational studies.