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| Outcome primacy ： ウィキペディア英語版 |
Outcome primacy
Outcome of the first experience has a substantial and lasting effect on participants' subsequent behaviour in a decision from experience task, a phenomenon which was termed as "outcome primacy". It was found that this outcome primacy can account for much of the Underweighting of Rare Events in Experience Based Decisions, where participants apparently underestimate small probabilities (in contrast to prospect theory where people tend to overestimate low probabilities, when lotteries are described).
== Modelling ==
Behaviour in this task can be modelled using a standard, model-free reinforcement learning algorithm. In this model, the values of the different actions are learned over time and are used to determine the next action according to a predefined action-selection rule. It was showed that a substantial effect of first experience on behaviour is consistent with the reinforcement learning model if one assumes that the outcome of first experience resets the values of the experienced actions, but not if symmetric initial conditions are assumed.
Moreover, the predictive power of the resetting model outperforms previously published models regarding the aggregate choice behaviour.
抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』
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