.png){kind=icon}
返回
Exploiting social partners in robot learning
.png){kind=icon}
PRE
AI
DOI：10.1007/s10514-010-9197-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Social learning in robotics has largely focused on imitation learning. Here we take a broader view and are interested in the multifaceted ways that a social partner can influence the learning process. We implement four social learning mechanisms on a robot: stimulus enhancement, emulation, mimicking, and imitation, and illustrate the computational benefits of each. In particular, we illustrate that some strategies are about directing the attention of the learner to objects and others are about actions. Taken together these strategies form a rich repertoire allowing social learners to use a social partner to greatly impact their learning process. We demonstrate these results in simulation and with physical robot 'playmates'.
Keyword:
Learning by imitation
Social learning
Biologically inspired learning
期刊
IF:
4.3
论文数:
1.7K
被引数:
5.0K
机构
引用论文
分享收藏Physiological and behavioral responses to corticotropin-releasing factor administration: is CRF a mediator of anxiety or stress responses?促肾上腺皮质激素释放因子的生理和行为反应: CRF是焦虑或应激反应的中介物吗？
PREAI
分享收藏Affordances, effectivities, and assisted imitation: Caregivers and the directing of attention.png)
NEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏
查看更多内容