Intelligent and defensive framework for decision-making systems-of-systems with applications to healthcare

Adrian Rusu, Douglas Taggart, Kevin Desmond, Hector Lopez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

As technology becomes more prevalent in everyday life, the need to build highly complex systems grows. With this increase in complexity, there is also an increase in the importance of assisting the decision-making of these systems. In this paper, we propose a framework that can assist a system or even series of systems according to user-provided or computer-generated intelligence. Instances of the framework can be deployed on several different machines, possibly in parallel, with the ability to communicate to one another. The framework itself is a system of systems, made up of several modules to read, store, and analyze functionality or data of any type towards making intelligent decisions. We start by introducing the general overview of our framework, followed by a detailed description of its components, and we conclude with providing a potential improvement to a healthcare system of systems.

Original languageEnglish (US)
Title of host publicationSysCon 2013 - 7th Annual IEEE International Systems Conference, Proceedings
Pages772-777
Number of pages6
DOIs
StatePublished - 2013
Event7th Annual IEEE International Systems Conference, SysCon 2013 - Orlando, FL, United States
Duration: Apr 15 2013Apr 18 2013

Publication series

NameSysCon 2013 - 7th Annual IEEE International Systems Conference, Proceedings

Other

Other7th Annual IEEE International Systems Conference, SysCon 2013
Country/TerritoryUnited States
CityOrlando, FL
Period4/15/134/18/13

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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