In Maurice Merleau-Ponty's phenomenology of perception, analysis of perception accounts for an element of intentionality, and in effect therefore, perception and action cannot be viewed as distinct procedures. In the same line of thinking, Alva No\"{e} considers perception as a thoughtful activity that relies on capacities for action and thought. Here, by looking into psychology as a source of inspiration, we propose a computational model for the action involved in visual perception based on the notion of equilibrium as defined by Jean Piaget. In such a model, Piaget's equilibrium reflects the mind's status, which is used to control the observation process. The proposed model is built around a modified version of convolutional neural networks (CNNs) with enhanced filter performance, where characteristics of filters are adaptively adjusted via a high-level control signal that accounts for the thoughtful activity in perception. While the CNN plays the role of the visual system, the control signal is assumed to be a product of mind.
翻译:在Maurice Merleau-Ponty的感官学中,对感知的分析反映了一种故意因素,因此,对感知的分析实际上不能被视为一种截然不同的程序。在同一思路中,Alva No\"{e}认为感知是一种深思熟虑的活动,依赖行动和思考的能力。在这里,通过将心理学视为灵感的来源,我们建议了一个基于Jean Piaget所定义的平衡概念的视觉感知行动计算模型。在这样一个模型中,Piaget的平衡反映了控制观察过程所使用的心智状态。拟议模式是围绕着经过修改的具有更高过滤性能的卷发神经网络(CNNs)的模型构建的,在这种网络中,过滤器的特性通过高层次控制信号适应性地调整,该信号可以说明感知到的感知活动。CNN发挥视觉系统的作用时,控制信号被认为是思想的产物。