Adaptive signal processing
Abstraction-based software development
Communications of the ACM
Role of process abstraction in simulation
IEEE Transactions on Systems, Man and Cybernetics
Object-oriented simulation with hierarchical, modular models: intelligent agents and endomorphic systems
Object oriented design with applications
Object oriented design with applications
A multimodel methodology for qualitative model engineering
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Identification and control using a hybrid reinforcement learning system
International Journal in Computer Simulation - Special issue: intelligent simulation of high autonomy systems
Heterogeneous decomposition and inter-level coupling for combined modeling
WSC '91 Proceedings of the 23rd conference on Winter simulation
Toward a Formal Theory of Modeling and Simulation: Structure Preserving Morphisms
Journal of the ACM (JACM)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Simulation Model Design and Execution: Building Digital Worlds
Simulation Model Design and Execution: Building Digital Worlds
OOPM/RT: a multimodeling methodology for real-time simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Applying parallel, dynamic-resolution simulations to accelerate VLSI power estimation
Proceedings of the 38th conference on Winter simulation
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While complex behavior can be generated through simple systems, as in chaotic and nonlinear systems, complex systems axe found where a systems study contains multiple physical objects and interactions. Through the use of hierarchy, we are able to simplify and organize the complex system. Every level within the hierarchy may be refined into another level. System abstraction involves simplification through structural system representation as well as through behavioral approximations of executed model structure. There has been little work on creating a unified taxonomy for model abstraction. We present such a taxonomy and define two major sub-fields of model abstraction, while illustrating both sub-fields through detailed examples. The introduction of this taxonomy provides system and simulation researchers with a way in which to view and manage complex systems.