Abstract
This chapter provides an introduction to the concept of subjective networks (SN) as graph-based structures of agents and variables combined with conditional opinions and trust opinions [60]. SNs generalise Bayesian network modelling and analysis in two ways: 1) by applying subjective logic instead of probabilistic reasoning, and 2) by integrating subjective trust networks (STNs) which allows different agents to have different opinions about the same variables.
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© 2016 Springer International Publishing Switzerland
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Jøsang, A. (2016). Subjective Networks. In: Subjective Logic. Artificial Intelligence: Foundations, Theory, and Algorithms. Springer, Cham. https://doi.org/10.1007/978-3-319-42337-1_17
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DOI: https://doi.org/10.1007/978-3-319-42337-1_17
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-42337-1
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