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A model-based feedback-control approach to behavior modification through reward-induced attitude change

机译：基于模型的反馈控制方法，通过奖励诱发的态度改变来改变行为

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We consider the problem of trying to change the behavior of a person by offering him a sequence of rewards, with each reward granted only if he performs the desired behavior to a certain degree. We develop a suitable cognitive model based on well-established psychological principles, and then use this model to devise a control algorithm that controls the person's attitude. By exploiting psychological dynamics to drive his attitude to a large enough value in finite time, the person's behavior can be brought to any desired level. This approach has the significant advantage that, at the end of the time interval, no reward is needed to maintain the desired behavior. We consider both open-loop and feedback implementations of the algorithm.
机译：我们考虑通过给一个人一系列的奖励来试图改变一个人的行为的问题，只有当他在某种程度上表现出期望的行为时，才给予每个奖励。我们基于公认的心理原理开发合适的认知模型，然后使用该模型设计出控制人的态度的控制算法。通过利用心理动力在有限的时间内将其态度提升到足够大的值，可以将人的行为带到任何期望的水平。这种方法的显着优点是，在时间间隔结束时，不需要奖励即可维持所需的行为。我们考虑算法的开环和反馈实现。

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