2019
DOI: 10.35940/ijitee.j9833.0881019
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A Multi-Agent Bio- Inspired System to Map Learners with Learning Resources using Clustering Based Personalization

Abstract: The work makes an examination of clustering methods in a multi-agent system which is fully decentralized. This has the goal of grouping agents that have similar data or objectives as in the case of traditional clustering. But, this adds to some more additional constraints wherein the agent will have to be in the same place as opposed to being collected within a centralized database. For doing this, it will connect to agents within a random network and will search for them in a peer-to-peer based fashion for th… Show more

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