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Soft-assembled human-machine perceptual systems

机译:软装配的人机感知系统

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Cognitive systems are highly adaptable and flexible, such that action and perception capabilities can be achieved with the body in various ways, and incorporate features of the environment and nonbiological tools. Perceptual learning refers to enduring changes to a system's ability to perceive and respond to environmental stimuli. Here I present an integrative framework for understanding how such capabilities occur in human-machine systems comprising brain-body-tool-environment interactions. Central to this work is the claim that the capacity for high degrees of adaptation, flexibility, and learning are possible because human-machine systems are soft-assembled systems, that is, systems whose material constitution is not rigidly constrained so as to achieve goals via a variety of configurations. I begin by presenting the foundations of the framework on offer: the concepts, methods, and theories of ecological psychology; embodied cognition; dynamical systems theory; and machine intelligence. Next, I apply the framework to the case of visually-guided action. I conclude by explaining how this framework provides the explanatory and investigative tools to understand human-machine perceptual systems as soft-assembled systems that span brains-bodies-tools-environments.
机译:认知系统具有高度的适应性和灵活性,因此可以通过各种方式利用身体实现动作和感知能力,并且结合了环境特征和非生物工具。知觉学习是指对系统感知和响应环境刺激能力的持久变化。在这里,我提出了一个综合框架,以了解这种功能在包括脑-机-体-环境相互作用的人机系统中是如何发生的。这项工作的核心主张是,由于人机系统是软装配系统,也就是说,其材料结构不受严格限制以便通过以下方式实现目标,因此具有高度适应性,灵活性和学习能力的可能性多种配置。我首先介绍所提供框架的基础:生态心理学的概念,方法和理论;体现的认知;动力系统理论和机器智能。接下来,我将框架应用于视觉引导动作。最后,我将通过解释该框架如何提供解释性和调查性工具来将人机感知系统理解为跨越大脑,身体,工具和环境的软组装系统。

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