Automatic Verification and Validation of a CAS Simulation of an Intensive Care Unit

Eichelberger, Christopher (The University of North Carolina at Charlotte) | Hadzikadic, Mirsad (The University of North Carolina at Charlotte) | Gajic, Ognjen (The Mayo Clinic) | Li, Guangxi (The Mayo Clinic)

AAAI Conferences 

Complex adaptive systems (CAS) promise to be useful in modeling and understanding real-world phenomena, but remain difficult to validate and verify. The authors present an adaptive, tool-chain-based approach to continuous validation and verification that allows the subject matter experts (SMEs) and modelers to interact in a useful manner. A CAS simulation of the ICU at the Mayo Clinic is used as a working example to illustrate the method and its benefits.

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