AIMC Topic: Cognition
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The relevance of signal timing in human-robot collaborative manipulation.
Science robotics
Sep 22, 2021
To achieve a seamless human-robot collaboration, it is crucial that robots express their intentions without perturbating or interrupting the task that a human partner is performing at that moment. Although it has not received much attention so far, t...
World model learning and inference.
Neural networks : the official journal of the International Neural Network Society
Sep 21, 2021
Understanding information processing in the brain-and creating general-purpose artificial intelligence-are long-standing aspirations of scientists and engineers worldwide. The distinctive features of human intelligence are high-level cognition and co...
Cognition-Enhanced Machine Learning for Better Predictions with Limited Data.
Topics in cognitive science
Sep 16, 2021
The fields of machine learning (ML) and cognitive science have developed complementary approaches to computationally modeling human behavior. ML's primary concern is maximizing prediction accuracy; cognitive science's primary concern is explaining th...
The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain.
Neural networks : the official journal of the International Neural Network Society
Sep 14, 2021
The vastness of the design space that is created by the combination of numerous computational mechanisms, including machine learning, is an obstacle to creating artificial general intelligence (AGI). Brain-inspired AGI development; that is, the reduc...
Toward a Psychology of Deep Reinforcement Learning Agents Using a Cognitive Architecture.
Topics in cognitive science
Sep 1, 2021
We argue that cognitive models can provide a common ground between human users and deep reinforcement learning (Deep RL) algorithms for purposes of explainable artificial intelligence (AI). Casting both the human and learner as cognitive models provi...
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Applied clinical informatics
Sep 1, 2021
OBJECTIVE: The change in performance of machine learning models over time as a result of temporal dataset shift is a barrier to machine learning-derived models facilitating decision-making in clinical practice. Our aim was to describe technical proce...
Cognitive IoT-Based e-Learning System: Enabling Context-Aware Remote Schooling during the Pandemic.
Journal of healthcare engineering
Aug 31, 2021
The 2019-2020 coronavirus pandemic had far-reaching consequences beyond the spread of the disease and efforts to cure it. Today, it is obvious that the pandemic devastated key sectors ranging from health to economy, culture, and education. As far as ...
Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective.
Topics in cognitive science
Aug 30, 2021
We examine the mechanisms required to handle everyday activities from the standpoint of cognitive robotics, distinguishing activities on the basis of complexity and transparency. Task complexity (simple or complex) reflects the intrinsic nature of a ...
Making space: the natural, cultural, cognitive and social niches of human activity.
Cognitive processing
Aug 27, 2021
This paper is in two parts. Part 1 examines the phenomenon of making space as a process involving one or other kind of legal decision-making, for example when a state authority authorizes the creation of a new highway along a certain route or of a ne...
The Flow of Axonal Information Among Hippocampal Subregions: 1. Feed-Forward and Feedback Network Spatial Dynamics Underpinning Emergent Information Processing.
Frontiers in neural circuits
Aug 27, 2021
The tri-synaptic pathway in the mammalian hippocampus enables cognitive learning and memory. Despite decades of reports on anatomy and physiology, the functional architecture of the hippocampal network remains poorly understood in terms of the dynami...
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