Learning from Each Other: An Agent Based Approach

机译：相互学习：基于代理的方法

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This paper presents an agent based approach to knowledge representation and learning methods. Agent architecture is described and discussed, together with its advantages and limitations. Main purpose of the proposed approach is to gain further insight in current teaching methods with a foremost aspiration for their improvement. Two different experimental studies were conducted; the first one addressing knowledge representation and the second one regarding knowledge transfer between agents. Obtained results are presented and analysed.

机译：本文提出了一种基于主体的知识表示和学习方法。描述和讨论了代理体系结构，以及它的优点和局限性。提出的方法的主要目的是获得对当前教学方法的进一步了解，并以其改进为首要目标。进行了两个不同的实验研究;第一个涉及知识表示，第二个涉及代理之间的知识转移。呈现和分析获得的结果。

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《International conference on universal access in human-computer interaction;International conference on human-computer interaction》|2014年|475-486|共12页
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Goran Zaharija; Sasa Mladenovic; Andrina Granic;
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learning; artificial intelligence; machine learning; agent based systems;

机译：学习;人工智能;机器学习基于代理的系统;

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Learning from Each Other: An Agent Based Approach

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