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Agent Communication and Belief Change
2015The notion of multi-agents, including the communication between them, is one of the most fundamental issues to be formalized in artificia intelligence. The communication, however, is not a simple message passing. First, a rational agent should send logically consistent contents in the situation; or, he/she could be an intentional liar.
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Knowledge Compilation for Belief Change
2006Techniques for knowledge compilation like prime implicates and binary decision diagrams (BDDs) are effective methods for improving the practical efficiency of reasoning tasks. In this paper we provide a construction for a belief contraction operator using prime implicates.
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A new divergence measure for belief functions in D–S evidence theory for multisensor data fusion
Information Sciences, 2020Fuyuan Xiao
exaly
Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy
Information Fusion, 2019Fuyuan Xiao
exaly
The combination of evidence in the transferable belief model
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990P Smets
exaly
Analyzing the monotonicity of belief interval based uncertainty measures in belief function theory
International Journal of Intelligent Systems, 2018Xinyang Deng
exaly