Inference in complex systems

Requirements Engineering Model in Designing Complex Systems

This research tends to development of the requirements elicitation methodology with regard to operational nature and hierarchical analysis for complex systems and also, regarding available technologies. This methodology applies Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) to ensure traceability of planned qualitative and quantitative data from requirements to available te...

Requirements Engineering Model in Designing Complex Systems

This research tends to development of the requirements elicitation methodology with regard to operational nature and hierarchical analysis for complex systems and also, regarding available technologies. This methodology applies Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) to ensure traceability of planned qualitative and quantitative data from requirements to available te...

Complex fuzzy linear systems

Structured cognitive representations and complex inference in neural systems

The dream of cognitive neuroscience has always been a seamless integration of cognitive representations with neural machinery, but—despite decades of work—fundamental gaps remain. Part of the problem is that many contemporary theories of cognition are formulated in terms of representations and computations that are quite different from those used in computational neuroscience. Bridging this gap...

Towards Automatic Inference of Task Hierarchies in Complex Systems

As Web services increasingly weave their way into our everyday lives, their dependability has become of critical importance [16]. Software defects, however, continue to plague such services, contributing to either degraded performance or down time. The most difficult bugs are the ones that make the system deviate from its expected execution behavior. Their root causes are usually buried in conv...