AIMC Topic: Imitative Behavior

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Imitation of complex whole-body sequence in profoundly hearing-impaired adolescents.

Human movement science
Many studies have identified specific visual advantages in deaf individuals. However, few studies have linked these advantages to motor learning. This study aimed to compare the differences in movement and learning processes between profoundly hearin...

Design and Development of an Imitation Detection System for Human Action Recognition Using Deep Learning.

Sensors (Basel, Switzerland)
Human action recognition (HAR) is a rapidly growing field with numerous applications in various domains. HAR involves the development of algorithms and techniques to automatically identify and classify human actions from video data. Accurate recognit...

Role play with large language models.

Nature
As dialogue agents become increasingly human-like in their performance, we must develop effective ways to describe their behaviour in high-level terms without falling into the trap of anthropomorphism. Here we foreground the concept of role play. Cas...

Transmission Versus Truth, Imitation Versus Innovation: What Children Can Do That Large Language and Language-and-Vision Models Cannot (Yet).

Perspectives on psychological science : a journal of the Association for Psychological Science
Much discussion about large language models and language-and-vision models has focused on whether these models are intelligent agents. We present an alternative perspective. First, we argue that these artificial intelligence (AI) models are cultural ...

Imitation in automata and robots: A philosophical case study on Kempelen.

Studies in history and philosophy of science
With robots being of far-ranging public and academic interest, attempts are made to set these into relation to earlier self-moving machines. Automata from European Enlightenment, especially in the 18th century, are such machines being referenced. The...

Revisiting the video deficit in technology-saturated environments: Successful imitation from people, screens, and social robots.

Journal of experimental child psychology
The "video deficit" is a well-documented effect whereby children learn less well about information delivered via a screen than the same information delivered in person. Research suggests that increasing social contingency may ameliorate this video de...

Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation.

Neural networks : the official journal of the International Neural Network Society
Humans demonstrate a variety of interesting behavioral characteristics when performing tasks, such as selecting between seemingly equivalent optimal actions, performing recovery actions when deviating from the optimal trajectory, or moderating action...

What is the simplest model that can account for high-fidelity imitation?

The Behavioral and brain sciences
What inductive biases must be incorporated into multi-agent artificial intelligence models to get them to capture high-fidelity imitation? We think very little is needed. In the right environments, both instrumental- and ritual-stance imitation can e...

Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning.

IEEE transactions on neural networks and learning systems
Anomaly detection is an important data mining task with numerous applications, such as intrusion detection, credit card fraud detection, and video surveillance. However, given a specific complicated task with complicated data, the process of building...

Supervised and semi-supervised 3D organ localisation in CT images combining reinforcement learning with imitation learning.

Biomedical physics & engineering express
Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology scan, and the ROI may be an organ or a suborgan. Although deep learning algorithms have the ability to outperform other methods, they rely on the avai...