The Neural Learning Mechanism of the Gambler’s Fallacy Bias in Random Sequences Generation
Abstract: The gambler’s bias refers to the preference for alteration patterns when people generate random sequences. That is, for example, when tossing fair coins, if one side appears, people would prefer to anticipate the other side to be more possible to appear next. The gambler’s bias is generally thought to be human brain’s misperception of random sequences which results from the repre-sentativeness bias. However, Sun et al. (2015) uncovered the latent structure in random sequen- ces, and provided a neural learning mechanism for the gambler’s bias using this statistical struc-ture. This finding not only gives a rational explanation for the bias but also provides a mathematical description for the cognitive processing of uncertainty and randomness in human mind.
文章引用: 过继成思 , 朱 滢 (2015) 随机序列生成中赌徒谬误的神经学习机制。 心理学进展， 5， 604-608. doi: 10.12677/AP.2015.510078
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