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The propositional nature of human associative learning

机译:人类联想学习的命题性质

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The past 50 years have seen an accumulation of evidence suggesting that associative learning depends on high-level cognitive processes that give rise to propositional knowledge. Yet, many learning theorists maintain a belief in a learning mechanism in which links between mental representations are formed automatically. We characterize and highlight the differences between the propositional and link approaches, and review the relevant empirical evidence. We conclude that learning is the consequence of propositional reasoning processes that cooperate with the unconscious processes involved in memory retrieval and perception. We argue that this new conceptual framework allows many of the important recent advances in associative learning research to be retained, but recast in a model that provides a firmer foundation for both immediate application and future research.
机译:在过去的50年中,已有大量证据表明,联想学习依赖于产生命题知识的高级认知过程。然而,许多学习理论家仍然相信一种学习机制,在这种机制中,心理表征之间的联系是自动形成的。我们表征并强调命题方法和链接方法之间的差异,并回顾相关的经验证据。我们得出结论,学习是命题推理过程与记忆检索和感知中涉及的无意识过程协作的结果。我们认为,这种新的概念框架可以保留联想学习研究中许多重要的最新进展,但可以在模型中进行重铸,从而为立即应用和未来研究提供更坚实的基础。

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