Multi-Agent Joint Learning from Argumentation

AGENTS AND DATA MINING INTERACTION (ADMI 2013), pp. 14-25, 2013.

Cited by: 0|Bibtex|Views27|DOI:https://doi.org/10.1007/978-3-642-55192-5_2
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Abstract:

Joint learning from argumentation is the idea that groups of agents with different individual knowledge take part in argumentation to communicate with each other to improve their learning ability. This paper focuses on association rule, and presents MALA, a model for argumentation based multi-agent joint learning which integrates ideas fr...More

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