Results 11 to 20 of about 16,597 (241)

Multimodal imitative learning and synchrony in cetaceans: A model for speech and singing evolution

Frontiers in Psychology, 2023
Multimodal imitation of actions, gestures and vocal production is a hallmark of the evolution of human communication, as both, vocal learning and visual-gestural imitation, were crucial factors that facilitated the evolution of speech and singing ...
José Zamorano-Abramson, José Zamorano-Abramson, Maëva Michon, Maëva Michon, Ma Victoria Hernández-Lloreda, Ma Victoria Hernández-Lloreda, Francisco Aboitiz   +6 more
doaj   +1 more source

IMITATION STRATEGIES FOR SME’S LEARNING PROCESS TOWARDS INNOVATION STRATEGIES

APMBA (Asia Pacific Management and Business Application), 2013
Imitation is actually a part of innovation strategy, the learning strategies to enter the market. It can be a stepping stone for SME”s in developing countries to innovate and to create a knowledge base to lower the innovation cost.
Rina Sulistiyani, Djumilah Hadiwidjojo, Surachaman surachaman, Ubud Salim   +3 more
doaj   +1 more source

The actions of others act as a pseudo-reward to drive imitation in the context of social reinforcement learning.

PLoS Biology, 2020
While there is no doubt that social signals affect human reinforcement learning, there is still no consensus about how this process is computationally implemented.
Anis Najar, Emmanuelle Bonnet, Bahador Bahrami, Stefano Palminteri   +3 more
doaj   +1 more source

Imitation of Peers in Children and Adults

Games, 2018
Imitation of the successful choices of others is a simple and superficially attractive learning rule. It has been shown to be an important driving force for the strategic behavior of (young) adults. In this study we examine whether imitation is prevalent
Jose Apesteguia, Steffen Huck, Jörg Oechssler, Elke Weidenholzer, Simon Weidenholzer   +4 more
doaj   +1 more source

Motion Generation Using Bilateral Control-Based Imitation Learning With Autoregressive Learning

IEEE Access, 2021
Imitation learning has been studied as an efficient and high-performance method to generate robot motion. Specifically, bilateral control-based imitation learning has been proposed as a method of realizing fast motion.
Ayumu Sasagawa, Sho Sakaino, Toshiaki Tsuji   +2 more
doaj   +1 more source

Deep Reinforcement Learning Task Assignment Based on Domain Knowledge

IEEE Access, 2022
Deep Reinforcement Learning (DRL) methods are inefficient in the initial strategy exploration process due to the huge state space and action space in large-scale complex scenarios.
Jiayi Liu, Gang Wang, Xiangke Guo, Siyuan Wang, Qiang Fu   +4 more
doaj   +1 more source

Imitation by Combination: Preschool Age Children Evidence Summative Imitation in a Novel Problem-Solving Task

Frontiers in Psychology, 2015
Children are exceptional, even ‘super’ imitators, but comparatively poor independent problem-solvers or innovators. However, human cultural evolution depends on both imitation and innovation.
Francys eSubiaul, Edward eKrajkowski, Elizabeth ePrice, Alexander eEtz   +3 more
doaj   +1 more source

Neural Marker of Habituation at 5 Months of Age Associated with Deferred Imitation Performance at 12 Months: A Longitudinal Study in the UK and The Gambia

Children, 2022
Across cultures, imitation provides a crucial route to learning during infancy. However, neural predictors which would enable early identification of infants at risk of suboptimal developmental outcomes are still rare.
Laura Katus, Bosiljka Milosavljevic, Maria Rozhko, Samantha McCann, Luke Mason, Ebrima Mbye, Ebou Touray, Sophie E. Moore, Clare E. Elwell, Sarah Lloyd-Fox, Michelle de Haan, The BRIGHT Study Team   +11 more
doaj   +1 more source

The Relationship between Motor Coordination and Imitation: An fNIRS Study

Brain Sciences, 2021
Although motor coordination and imitation are important factors affecting motor skill learning, few studies have examined the relationship between them in healthy adults.
Wenrui Zhao, Minqiang Hui, Xiaoyou Zhang, Lin Li   +3 more
doaj   +1 more source

Quantum Imitation Learning

IEEE Transactions on Neural Networks and Learning Systems
Manuscript submitted to a journal for review on January 5 ...
Zhihao Cheng, Kaining Zhang, Li Shen, Dacheng Tao   +3 more
openaire   +3 more sources