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Abstract

This paper discusses the significance of communication between individual agents that are embedded into learning Multi-Agent Systems. For several learning tasks occurring within a Multi-Agent System, communication activities are investigated and the need for a mutual understanding of agents participating in the learning process is made explicit. Thus, the need for a common ontology to exchange learning-related information is shown. Building this ontology is an additional learning task that is not only extremely important, but also extremely difficult. We propose a solution that is motivated by the human ability to understand each other even in the absence of a common language by using alternative communication channels, such as gestures.

@inproceedings{kaiser96learningBasisMAS,
  author={M. Kaiser and R. Dillmann and O. Rogalla},
  title={Communication as the Basis for Learning in Multi-Agent Systems},
  year={1996},
  address={Budapest, Hungary},
  booktitle={ECAI-96 Workshop on Learning in Distributed AI Systems},
  url={http://www.isrl.uiuc.edu/~amag/langev/paper/kaiser96learningBasisMAS.html}
}

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