Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.

Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.
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DOI:
10.1037/a0026435
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发表时间:
2012-01
影响因子:
5.4
通讯作者:
Botvinick, Matthew M.
Botvinick, Matthew M.
中科院分区:
心理学1区
文献类型:
--
作者:
Solway, Alec;Botvinick, Matthew M.

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最近的研究提出了一种观点,即基于奖励的决策是由两个关键控制器控制的:一个是习惯系统,它存储由过去奖励形成的刺激-反应关联,另一个是目标导向系统,它根据预期结果选择行动。目前的文献提供了丰富的计算理论解决习惯的形成,集中在时间差异学习机制。在使目标导向的决策所涉及的过程正式化方面进展较少。我们借鉴了认知神经科学、动物条件反射、认知和发展心理学以及机器学习方面的最新研究成果,概述了目标导向决策的新理论。我们的基本建议是,在一个可识别的皮层和皮层下结构网络中,大脑实现了一个奖励的概率生成模型,目标导向的决策是通过该模型的贝叶斯反转来实现的。我们提出了一组模拟实现帐户,解决基准行为和神经科学的发现,并产生了一组可测试的预测。我们还讨论了所提出的框架和其他决策模型之间的关系,包括最近的感知选择模型,我们的理论与之直接相关。
Recent work has given rise to the view that reward-based decision making is governed by two key controllers: a habit system, which stores stimulus-response associations shaped by past reward, and a goal-oriented system that selects actions based on their anticipated outcomes. The current literature provides a rich body of computational theory addressing habit formation, centering on temporal-difference learning mechanisms. Less progress has been made toward formalizing the processes involved in goal-directed decision making. We draw on recent work in cognitive neuroscience, animal conditioning, cognitive and developmental psychology and machine learning, to outline a new theory of goal-directed decision making. Our basic proposal is that the brain, within an identifiable network of cortical and subcortical structures, implements a probabilistic generative model of reward, and that goal-directed decision making is effected through Bayesian inversion of this model. We present a set of simulations implementing the account, which address benchmark behavioral and neuroscientific findings, and which give rise to a set of testable predictions. We also discuss the relationship between the proposed framework and other models of decision making, including recent models of perceptual choice, to which our theory bears a direct connection.
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