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Ann Nicholson and Stuart Russell, ''Techniques for Handling Inference Complexity in Dynamic Belief Networks". Technical report no.
Belief updates not conforming to the axioms lead to either rejection of the update or some other revision of the dynamic belief store to maintain consistency.
Figures 6 and 7 show the dynamic belief change of the source in the maliciousness of relays 1 and 4, respectively.
Figure 6 Dynamic belief in the maliciousness of relay 1. Figure 7 Dynamic belief in the maliciousness of relay 4. As shown in Figure 5, at stage 1, the observed attacking target is relay 4, and the relay selected by the source is relay 1.
In this section, we discuss the impact of dynamic belief update in the maliciousness of relays on system throughput and compromising probability of the proposed dynamic game-theoretic approach, which enables the source update its beliefs in the maliciousness of relays based on the attacker's attacking histories on selected relays.
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The ontology axioms act as a schema for the dynamic beliefs.
The dynamic beliefs are the descriptions of the individuals that are instances of the ontology classes.
Formally, a belief manipulation attack can occur in any environment where intelligent agents have fallible, dynamic beliefs.
In this section, we discuss dynamic beliefs in the maliciousness of relays according to the attacker's attacking histories on relays and dynamic total utility of the source brought by its dynamic beliefs in the maliciousness of relays.
Numerous simulations are executed to draw reliable results concerning the impact of dynamic beliefs in the maliciousness of relays on throughput and compromising probability.
First, we re-analyze circumscription in dynamic logics of belief change under hard and soft information.
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