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首页> 外文期刊>Current directions in psychological science: a journal of the American Psychological Society >Relational reasoning in a neurally plausible cognitive architecture - An overview of the LISA project
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Relational reasoning in a neurally plausible cognitive architecture - An overview of the LISA project

机译：神经似然的认知架构中的关系推理-LISA项目概述

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摘要

Hunian mental representations are both flexible and structured-properties that, together, present challenging design requirements for a model of human thinking. The Learning and Inference with Schemas and Analogies (LISA) model of analogical reasoning aims to achieve these properties within a neural network. The model represents both relations and objects as patterns of activation distributed over semantic units, integrating these representations into propositional structures using synchrony of firing. The resulting propositional structures serve as a natural basis for memory retrieval, analogical mapping, analogical inference, and schema induction. The model also provides an a priori account of the limitations of human working memory and can simulate the effects Of various kinds of brain damage on thinking.
机译：匈奴的心理表征既灵活又结构化，它们共同为人类思维模型提出了具有挑战性的设计要求。图式和类比的学习和推理（LISA）模型旨在在神经网络中实现这些特性。该模型将关系和对象都表示为分布在语义单元上的激活模式，并通过激发同步将这些表示集成到命题结构中。由此产生的命题结构为内存检索，类比映射，类比推理和模式归纳提供了自然的基础。该模型还提供了对人类工作记忆的局限性的先验说明，并可以模拟各种大脑损伤对思维的影响。

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