Smart manufacturing relies on a combination of different sources providing key information
to support diverse activities throughout the manufacturing process. Most smart …

Over the past few decades, machine learning has led to substantial changes in Data Fusion
Systems throughout the world. One of the most important application areas for data fusion is …

Subjective Bayesian networks (SBN) combine Bayesian Networks (BN) with Subjective
Logic in order to express the second-order uncertainty (ie, the uncertainty about a probability …

Predictive Situation Awareness (PSAW) is the ability to estimate and predict aspects of a
temporally evolving situation. PSAW systems reason about complex and uncertain situations …

Multi-Entity Bayesian Network (MEBN) is a knowledge representation formalism combining
Bayesian Networks (BNs) with First-Order Logic (FOL). MEBN has sufficient expressive …

This paper proposes that an appropriately configured multi-agent system (MAS) is formally
equivalent to a graphical causal model (GCM, a broad category that includes many …

With the increasing importance of cyberspace security, the research and application of
network situational awareness is getting more attention. The research on network security …

Recent years have seen explosive growth in information security problem. Trusted
computing is increasingly used in the fields of information security. The basic idea of trusted …

Subjective Bayesian networks (SBN) integrate Bayesian Networks (BN) with Subjective
Logic, enabling the representation of second-order uncertainty, denoting the uncertainty …

In the process of performing a task, autonomous unmanned systems face the problem of
scene changing, which requires the ability of real-time decision-making under dynamically …