Learning by Imitation for the Improvement of the Individual and the Social Behaviors of Self-organized Autonomous Agents

摘要：

　　This paper shows that learning by imitation leads to a pos itive effect not only in human behavior but also in the behavior of the autonomous agents (AA) in the field of self-organized creation deposits.Indeed, for each agent, the individual discoveries (i.e.goals) have an ef fect on the performance of the population level and therefore they induce a new learning capability at the individual level.Particularly, we show through a set of experiments that adding a simple imitation capability to our bio-inspired architecture allows increasing the ability of agents to share more information and improving the overall performance of the whole system.We will conclude with robotics experiments which will feature how our approach applies accurately to real life environments.

关键词： Learning by Imitation Cognitive Map Emergent Structures

作者: Abdelhak Chatty Philippe Gaussier Ilhem Kallel Philippe Laroque Adel M.Alimi

作者单位: REGIM：REsearch Groups on Intelligent Machine,National School of Engineers (ENIS), Sfax University, S ETIS：Neuro-cybernetic team, Image and signal Processing,National School of Electronics and Its Appli REGIM：REsearch Groups on Intelligent Machine,National School of Engineers (ENIS), Sfax University, S

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 44-52

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）