| According to the scientists, computer programs that mimic human decision-making actually do a better job when they incorporate the emotion of regret, British newspaper The Daily Telegraph reported today. |
| In their study, the researchers observed how people modify their behaviour during strategic games by looking backwards to what might have been their best move, once they know what the other players' move was. |
| Dr Davide Marchiori of the University of Trento probed how this could hone the performance of neural networks, computers that are roughly modelled on the brain that are able to learn. |
| "Introducing an approximation of the emotion of regret "" basically looking back to see how much better they could have done "" allowed the models to predict human behaviour more precisely than conventional economic theories can," Dr Marchiori was quoted as saying. |
| Added co-researcher Massimo Warglien of Ca' Foscari University in Venice, "Understanding how humans learn may help to design machines or artificial agents that can interact better with humans. Man-machine interaction has two sides "" how men adapt to machines, and how machines adapt to humans. Our work may help to design machines better adapting to human ways of learning in interaction." |
| However, he said that the study has revealed that human beings are more "rationalisers" than rational beings "" they learn "in retrospect", that is, they also look backwards instead of just looking forwards. |
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