This paper outlines the application of case-based reasoning and Bayesian belief networks
to critical success factor (CSF) assessment for parsimonious military decision making. An …

A hybrid operation network model is proposed to describe and evaluate a missile defense
system. More specifically, the network model provides a formal modeling approach based …

The belief rule-based (BRB) system has demonstrated advantages in complex system
modeling and evaluation, with strong nonlinear relationship approximation capabilities. BRB …

Influence networks are Bayesian networks whose probabilities are approximated via expert
provided influence constants. They represent a modeling and analysis formalism for …

Complex operation planning is a very complicated process. Computer support makes this
process more effective and improves its quality. A quantitative evaluation of different variants …

This paper presents an algorithm to transform a dynamic influence net (DIN) into a dynamic
Bayesian network (DBN). The transformation aims to bring the best of both probabilistic …

Humans and machines have disparate skills, with humans exemplifying higher-level
cognitive skills such as problem-solving, decision-making, and creativity. In contrast …

Abstract Models, created using different modeling formalisms or techniques, usually serve
different purposes and provide unique insights. While each modeling technique might be …

The paper is devoted to a quantitative approach to support of strategic planning to control
international conflicts. The MUT team, taking part in Polish-American “tabletop” games, has …

The paper applies particle swarm optimization (PSO) technique to identify effective courses
of action (COAs) in a dynamic uncertain situation. The uncertain situation is modeled using …