2014
DOI: 10.19153/cleiej.17.2.7
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Collective Learning in Multi-Agent Systems Based on Cultural Algorithms

Abstract: This paper aims to present a learning model for coordination schemes in Multi-Agent Systems (MAS) based on Cultural Algorithms (CA). In this model, the individuals (one of the CA components) are the different conversations that may occur in any multi-agent systems, and the coordination scheme learned is at the level of the way to perform the communication protocols into the conversation. A conversation can has sub-conversations, and the sub-conversations and/or conversations are identified… Show more

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