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首页> 外文期刊>Current Biology: CB >Factual and Counterfactual Action-Outcome Mappings Control Choice between Goal-Directed Actions in Rats
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Factual and Counterfactual Action-Outcome Mappings Control Choice between Goal-Directed Actions in Rats

机译:事实和反事实行动结果映射控制大鼠目标定向行动之间的选择

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摘要

The capacity to extract causal knowledge from the environment allows us to predict future events and to use those predictions to decide on a course of action [1]. Although evidence of such causal reasoning has long been described [2], recent evidence suggests that using predictive knowledge to guide decision-making in this way is predicated on reasoning about causes in two quite distinct ways: choosing an action can be based on the interaction between predictive information and the consequences of that action, or, alternatively, actions can be selected based on the consequences that they do not produce [3-5]. The latter counterfactual reasoning is highly adaptive because it allows us to use information about both present and absent events to guide decision-making [6, 7]. Nevertheless, although there is now evidence to suggest that animals other than humans, including rats and birds, can engage in causal reasoning of one kind or another [8-10], there is currently no evidence that they use counterfactual reasoning to guide choice. To assess this question, we gave rats the opportunity to learn new action-outcome relationships, after which we probed the structure of this learning by presenting excitatory and inhibitory cues predicting that the specific outcomes of their actions would either occur or would not occur. Whereas the excitors biased choice toward the action delivering the predicted outcome, the inhibitory cues selectively elevated actions predicting the absence of the inhibited outcome, suggesting that rats encoded the counterfactual action-outcome mappings and were able to use them to guide choice.
机译:从环境中提取因果知识的能力使我们能够预测未来的事件,并使用这些预测来确定行动方案[1]。尽管长期以来已经描述了这种因果推理的证据[2],但最近的证据表明,使用预测知识以这种方式指导决策的制定是基于两种非常不同的方式对原因进行推理的:选择行动可以基于交互作用在预测性信息和该动作的后果之间进行选择,或者可以根据动作不产生的后果选择动作[3-5]。后者的反事实推理具有高度的适应性,因为它允许我们使用有关当前事件和不存在事件的信息来指导决策[6,7]。然而,尽管现在有证据表明除人类以外的动物,包括大鼠和鸟类,都可能参与一种或多种因果推理[8-10],但目前尚无证据表明它们使用反事实推理来指导选择。为了评估这个问题,我们为大鼠提供了学习新的行动-结果关系的机会,此后,我们通过提出兴奋性和抑制性线索来预测这种行为的具体结果可能发生或不会发生,从而探索了这种学习的结构。兴奋剂将选择偏向于提供预期结果的动作,而抑制线索则选择性地升高了动作,以预测不存在抑制结果,这表明大鼠编码了反事实动作结果图谱,并能够使用它们来指导选择。

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