Probabilistic risk assessment (PRA) is a systematic process of examining how engineered
systems work to ensure safety. With the growth of the size of dynamic systems and the …

The DEVS modeling and simulation framework its fundamental concepts are discussed from
the standpoint of discrete event information processing with an example drawn from recent …

Many fields have or are developing ontologies for their subdomains. The gene ontology
(GO) is now considered to be a great success in biology, a field that has already developed …

In areas such as military, security, aerospace, and disaster management, the need for
performance optimization and interoperability among heterogeneous systems is …

Abstract Network-Oriented Modeling has successfully been applied to obtain network
models for a wide range of phenomena, including Biological Networks, Mental Networks …

Discrete Event Specification (DEVS) environments are implemented over middleware
systems such as HLA, RMI, CORBA and others. DEVS exhibits concepts of systems theory …

Composition of models is considered essential in developing heterogeneous complex
systems and in particular simulation models capable of expressing a system's structure and …

This paper addresses issues related to the development of a computational theory and
corresponding methods for studying complex socioeconomic systems. We propose a novel …

A recent DoD mandate requires that the DoD Architecture Framework (DoDAF) be adopted
to express high-level system and operational requirements and architectures. DoDAF is the …

Dynamic probabilistic risk assessment (DPRA) is a systematic and comprehensive
methodology that has been used and refined over the past decades to evaluate the risks …