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  • 标题:Cognitive Architecture to Generate Motivational Feelings: A Way to Improve Visual Learning in Robots
  • 本地全文:下载
  • 作者:Tooba Wasim Ahmad Khan ; Faiza Abdullah Maryam Bashir
  • 期刊名称:Computer Engineering and Intelligent Systems
  • 印刷版ISSN:2222-1727
  • 电子版ISSN:2222-2863
  • 出版年度:2016
  • 卷号:7
  • 期号:6
  • 页码:37-40
  • 语种:English
  • 出版社:International Institute for Science, Technology Education
  • 摘要:Expressions and voice pitch of an individual play an indispensable role in different cognitive processes. These factor help humans to learn a lot about different things present in their environment. This paper proposes a way to motivate robot learning through their environment and human around them. This mechanism is based on recognition of other agent’s facial expressions and voice pitch analysis by robot. A motivational level can be calculated through these feelings. Motivational level can impel the robots to improve their past learning. This mechanism can possibly help a robot to apprehend its environment and interact with other agents effectively.
  • 其他摘要:Expressions and voice pitch of an individual play an indispensable role in different cognitive processes. These factor help humans to learn a lot about different things present in their environment. This paper proposes a way to motivate robot learning through their environment and human around them. This mechanism is based on recognition of other agent’s facial expressions and voice pitch analysis by robot. A motivational level can be calculated through these feelings. Motivational level can impel the robots to improve their past learning. This mechanism can possibly help a robot to apprehend its environment and interact with other agents effectively. Keywords : cognition; motivation; facial expression; voice pitch; perception; memory.
  • 关键词:cognition; motivation; facial expression; voice pitch; perception; memory.
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