Everyday Activities
- PMID: 35166049
- DOI: 10.1111/tops.12603
Everyday Activities
Abstract
The ease with which humans usually perform everyday activities masks their inherit complexity. Tasks such as setting a table prior to a meal or preparing a hot beverage require the coordination of several cognitive abilities. At the same time, many everyday activities are simple enough to afford investigation in controlled lab settings. One main goal of this issue is to raise awareness of everyday activities as a topic and a field of study in its own right, which allows investigating (a) selected cognitive abilities with high ecological validity and (b) the interplay and integration of key cognitive abilities. To this end, this topic consists of eight papers that span different aspects of everyday activities, ranging from neuroscience through philosophical considerations and implications to lessons from robotics.
Keywords: Action control; Cognitive impairment; Cognitive robotics; Development; Everyday activities; Motor control; Planning.
© 2022 Cognitive Science Society LLC.
References
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- Bub, D. N., Masson, M. E., & van Mook, H. (2018). Switching between lift and use grasp actions. Cognition, 174, 28-36.
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- Butyrev, L., Edelhäußer, T., & Mutschler, C. (2019). Deep reinforcement learning for motion planning of mobile robots. arXiv. https://arxiv.org/abs/1912.09260
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- Caccavale, R., & Finzi, A. (2022). A Robotic Cognitive Control Framework for Collaborative Task Execution and Learning. Topics in Cognitive Science. https://doi.org/10.1111/tops.12587
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- Cooper, R. P., Ruh, N., & Mareschal, D. (2014). The goal circuit model: A hierarchical multi-route model of the acquisition and control of routine sequential action in humans. Cognitive Science, 38(2), 244-274.
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- de Kleijn, R., Sen, D., & Kachergis, G. (2022). A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm. Topics in Cognitive Science. https://doi.org/10.1111/tops.12595
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