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Symbolic and Sub-symbolic Representations in Computational Models of Human Cognition What Can be Learned from Biology?

机译：人类认知计算模型中的象征和次象征表征可以从生物学中学到什么？

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作者
Troy D. Kelley;
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年度 2009
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入库时间 2022-08-20 20:58:00

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1. Toward a Unified Sub-symbolic Computational Theory of Cognition [J] . Martin V. Butz Frontiers in Psychology . 2016,第4期

机译：走向统一的亚符号认知计算理论
2. Representations, approximations, and limitations within a computational framework for cognitive science Comment on "Toward a computational framework for cognitive biology: Unifying approaches from cognitive neuroscience and comparative cognition" by W. Tecumseh Fitch [J] . Amy Perfors Physics of life reviews . 2014,第3期

机译：W. Tecumseh Fitch对“迈向认知生物学的计算框架：统一来自认知神经科学和比较认知的方法”的评论，为认知科学的计算框架提供了表示，近似和限制。
3. Integrability with symbolic computation on the Bogoyavlensky-Konoplechenko model: Bell-polynomial manipulation, bilinear representation, and Wronskian solution [J] . Juan Li Nonlinear dynamics . 2014,第1a2期

机译：在Bogoyavlensky-Konoplechenko模型上具有符号计算的可积分性：贝尔多项式处理，双线性表示和Wronskian解
4. A sub-symbolic model of the cognitive processes of re-representation and insight [C] . Dan Ventura ACM conference on Creativity and cognition . 2009

机译：重新表示和洞察力认知过程的亚符号模型
5. Accelerating Human Visual Concept Learning and Boosting Performance via Computational Models of Perception and Cognition [D] . Roads, Brett David. 2017

机译：通过感知和认知计算模型加速人类视觉概念学习并提高性能
6. Toward a Unified Sub-symbolic Computational Theory of Cognition [O] . Martin V. Butz -1

机译：建立统一的亚符号认知计算理论
7. From vectors to symbols to cognition: The symbolic and sub-symbolic aspects of vector-symbolic cognitive models [O] . Matthew A Kelly, Robert West 2019

机译：从向量到符号到认知：矢量符号认知模型的象征性和亚象征性方面
8. Foundations for Reasoning in Cognition-Based Computational Representations ofHuman Decision Making [R] . Senglaub, M. E., Harris, D. L., Raybourn, E. M. 2001

机译：基于认知的人类决策计算表征中的推理基础

Symbolic and Sub-symbolic Representations in Computational Models of Human Cognition What Can be Learned from Biology?

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