AIMC Topic: Cognition

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Human- or object-like? Cognitive anthropomorphism of humanoid robots.

PloS one
Across three experiments (N = 302), we explored whether people cognitively elaborate humanoid robots as human- or object-like. In doing so, we relied on the inversion paradigm, which is an experimental procedure extensively used by cognitive research...

Editor's Review and Introduction: Cognition-Inspired Artificial Intelligence.

Topics in cognitive science
Cognitive science has much to contribute to the general scientific body of knowledge, but it is also a field rife with possibilities for providing background research that can be leveraged by artificial intelligence (AI) developers. In this introduct...

Cognitive Challenges Are Better in Distinguishing Binge From Nonbinge Drinkers: An Exploratory Deep-Learning Study of fMRI Data of Multiple Behavioral Tasks and Resting State.

Journal of magnetic resonance imaging : JMRI
BACKGROUND: Studies have identified imaging markers of binge drinking. Functional connectivity during both task challenges and resting state was shown to distinguish binge and nonbinge drinkers. However, no studies have compared the efficacy of task ...

Cognitive Heterogeneous Wireless Network and Artificial Intelligence-Based Supply Chain Efficiency Optimization Application.

Computational intelligence and neuroscience
Cognitive radio can specifically perceive the surrounding environment, can understand and learn the changes in the surrounding environment, and can adjust its own adaptation method, channel calculation, and other transmission parameters at any time. ...

Smart Cognitive IoT Devices Using Multi-Layer Perception Neural Network on Limited Microcontroller.

Sensors (Basel, Switzerland)
The Internet of Things (IoT) era is mainly dependent on the word "Smart", such as smart cities, smart homes, and smart cars. This aspect can be achieved through the merging of machine learning algorithms with IoT computing models. By adding the Artif...

The Cognitive Transformation of Japanese Language Education by Artificial Intelligence Technology in the Wireless Network Environment.

Computational intelligence and neuroscience
This study aims to solve the multiscale problems faced by the current classroom student behavior target detection based on the convolutional neural network (CNN) in the wireless network environment. Firstly, the recent reform of Japanese language edu...

BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture.

IEEE transactions on neural networks and learning systems
The further exploration of the neural mechanisms underlying the biological activities of the human brain depends on the development of large-scale spiking neural networks (SNNs) with different categories at different levels, as well as the correspond...

Construction of Cognitive Model of Family Education Decision-Making Based on Neural Network.

Occupational therapy international
Family's academic cognition influences the family's academic concept, rearing fashion, and academic participation. It is no longer solely associated to kid's bodily and intellectual development; however, additionally associated to household concord a...

Path Signature Neural Network of Cortical Features for Prediction of Infant Cognitive Scores.

IEEE transactions on medical imaging
Studies have shown that there is a tight connection between cognition skills and brain morphology during infancy. Nonetheless, it is still a great challenge to predict individual cognitive scores using their brain morphological features, considering ...