[图书][B] Deep mediatization

A Hepp - 2019 - taylorfrancis.com
Andreas Hepp takes an integrative look at one of the biggest questions in media and
communications research: how digital media is changing society. Often, such questions are …

Artificial companions, social bots and work bots: communicative robots as research objects of media and communication studies

A Hepp - Media, Culture & Society, 2020 - journals.sagepub.com
The aim of this article is to outline 'communicative robots' as an increasingly relevant field of
media and communication research. Communicative robots are defined as autonomously …

Dealing with large-scale spatio-temporal patterns in imitative interaction between a robot and a human by using the predictive coding framework

J Hwang, J Kim, A Ahmadi, M Choi… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper aims to investigate how adequate cognitive functions for recognizing, predicting,
and generating a variety of actions can be developed through iterative learning of action …

Humanoid cognitive robots that learn by imitating: Implications for consciousness studies

JA Reggia, GE Katz, GP Davis - Frontiers in Robotics and AI, 2018 - frontiersin.org
While the concept of a conscious machine is intriguing, producing such a machine remains
controversial and challenging. Here, we describe how our work on creating a humanoid …

Fronto-parietal mirror neuron system modeling: visuospatial transformations support imitation learning independently of imitator perspective

H Oh, AR Braun, JA Reggia, RJ Gentili - Human Movement Science, 2019 - Elsevier
Although the human mirror neuron system (MNS) is critical for action observation and
imitation, most MNS investigations overlook the visuospatial transformation processes that …

Computational modeling of embodied visual perspective taking

T Fischer, Y Demiris - IEEE Transactions on Cognitive and …, 2019 - ieeexplore.ieee.org
Humans are inherently social beings that benefit from their perceptional capability to
embody another point of view, typically referred to as perspective taking. Perspective taking …

Predictive coding-based deep dynamic neural network for visuomotor learning

J Hwang, J Kim, A Ahmadi, M Choi… - 2017 Joint IEEE …, 2017 - ieeexplore.ieee.org
This study presents a dynamic neural network model based on the predictive coding
framework for perceiving and predicting the dynamic visuo-proprioceptive patterns. In our …

NeuroCERIL: Robotic Imitation Learning via Hierarchical Cause-Effect Reasoning in Programmable Attractor Neural Networks

GP Davis, GE Katz, RJ Gentili, JA Reggia - International Journal of Social …, 2023 - Springer
Imitation learning allows social robots to learn new skills from human teachers without
substantial manual programming, but it is difficult for robotic imitation learning systems to …

Changes in motor performance and mental workload during practice of reaching movements: a team dynamics perspective

IM Shuggi, PA Shewokis, JW Herrmann… - Experimental brain …, 2018 - Springer
Few investigations have examined mental workload during motor practice or learning in a
context of team dynamics. This study examines the underlying cognitive-motor processes of …

Tunable neural encoding of a symbolic robotic manipulation algorithm

GE Katz, Akshay, GP Davis, RJ Gentili… - Frontiers in …, 2021 - frontiersin.org
We present a neurocomputational controller for robotic manipulation based on the recently
developed “neural virtual machine”(NVM). The NVM is a purely neural recurrent architecture …