Study of Online Bayesian Networks Learning in a Multi-Agent System
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 Log-Likelihood, Minimum description length, and Bayesian scores.
Keywords: Bayesian Network, Search Algorithms, Heuristic Search, Exhaustive Search
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ABOUT THE AUTHOR
Yonghui Cao
Henan Institute of Science and Technology
Yonghui Cao
Henan Institute of Science and Technology
