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Computational Grounded Cognition: a new alliance between grounded cognition and computational modeling

机译:计算基础认知:基础认知与计算模型之间的新联盟

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Grounded theories assume that there is no central module for cognition. According to this view, all cognitive phenomena, including those considered the province of amodal cognition such as reasoning, numeric, and language processing, are ultimately grounded in (and emerge from) a variety of bodily, affective, perceptual, and motor processes. The development and expression of cognition is constrained by the embodiment of cognitive agents and various contextual factors (physical and social) in which they are immersed. The grounded framework has received numerous empirical confirmations. Still, there are very few explicit computational models that implement grounding in sensory, motor and affective processes as intrinsic to cognition, and demonstrate that grounded theories can mechanistically implement higher cognitive abilities. We propose a new alliance between grounded cognition and computational modeling toward a novel multidisciplinary enterprise: Computational Grounded Cognition. We clarify the defining features of this novel approach and emphasize the importance of using the methodology of Cognitive Robotics, which permits simultaneous consideration of multiple aspects of grounding, embodiment, and situatedness, showing how they constrain the development and expression of cognition.
机译:扎根的理论假设没有认知的中心模块。根据这种观点,所有的认知现象,包括那些被认为是非模态认知的区域,例如推理,数字和语言处理,最终都基于各种身体,情感,感知和运动过程(并从中产生)。认知的发展和表达受到认知主体及其所浸入的各种情境因素(身体和社会)的实施方式的限制。扎根的框架已收到大量经验证实。但是,仍然很少有显式的计算模型将认知,运动和情感过程中的基础实现为认知的内在条件,并证明了扎根的理论可以机械地实现更高的认知能力。我们提出了基于认知的认知与计算模型之间的新联盟,以建立一种新型的多学科企业:计算基础的认知。我们阐明了这种新颖方法的定义特征,并强调了使用认知机器人技术的重要性,该方法允许同时考虑基础,体现和位置的多个方面,从而显示它们如何限制认知的发展和表达。

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