Study of Online Bayesian Networks Learning in a Multi-Agent System
نویسنده
چکیده
This paper introduces online Bayesian network learning in detail. The structural and parametric learning abilities of the online Bayesian network learning are explored. The paper starts with revisiting the multi-agent self-organization problem and the proposed solution. Then, we explain the proposed Bayesian network learning, three scoring functions, namely LogLikelihood, Minimum description length, and Bayesian scores.
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