AIMC Topic: Social Learning

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A neural network model for the evolution of reconstructive social learning.

Scientific reports
Learning from others is an important adaptation. However, the evolution of social learning and its role in the spread of socially transmitted information are not well understood. Few models of social learning account for the fact that socially transm...

Reflections From the Pandemic: Is Connectivism the Panacea for Clinicians?

Journal of medical Internet research
The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of...

Dynamic mutual predictions during social learning: A computational and interbrain model.

Neuroscience and biobehavioral reviews
During social interactions, we constantly learn about the thoughts, feelings, and personality traits of our interaction partners. Learning in social interactions is critical for bond formation and acquiring knowledge. Importantly, this type of learni...

A Scoping Review of the Use of Robotics Technologies for Supporting Social-Emotional Learning in Children with Autism.

Journal of autism and developmental disorders
This scoping review synthesises the current research into robotics technologies for promoting social-emotional learning in children with autism spectrum disorder. It examines the types of robotics technologies employed, their applications, and the ga...

Social robots as social learning partners: Exploring children's early understanding and learning from social robots.

The Behavioral and brain sciences
Clark and Fischer propose that people interpret social robots not as social agents, but as interactive depictions. Drawing on research focusing on how children selectively learn from social others, we argue that children do not view social robots as ...

Experiments in artificial culture: from noisy imitation to storytelling robots.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
This paper presents a series of experiments in collective social robotics, spanning more than 10 years, with the long-term aim of building embodied models of (aspects of) cultural evolution. Initial experiments demonstrated the emergence of behaviour...

Social learning in swarm robotics.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
In this paper, we present an implementation of social learning for swarm robotics. We consider social learning as a distributed online reinforcement learning method applied to a collective of robots where sensing, acting and coordination are performe...

Meta-learning, social cognition and consciousness in brains and machines.

Neural networks : the official journal of the International Neural Network Society
The intersection between neuroscience and artificial intelligence (AI) research has created synergistic effects in both fields. While neuroscientific discoveries have inspired the development of AI architectures, new ideas and algorithms from AI rese...

Opposite valence social information provided by bio-robotic demonstrators shapes selection processes in the green bottle fly.

Journal of the Royal Society, Interface
Social learning represents a high-level complex process to acquire information about the environment, which is increasingly reported in invertebrates. The animal-robot interaction paradigm turned out to be an encouraging strategy to unveil social lea...

Instructor-learner brain coupling discriminates between instructional approaches and predicts learning.

NeuroImage
The neural mechanisms that support naturalistic learning via effective pedagogical approaches remain elusive. Here we used functional near-infrared spectroscopy to measure brain activity from instructor-learner dyads simultaneously during dynamic con...