Design patterns: elements of reusable object-oriented software
Design patterns: elements of reusable object-oriented software
A comparison of simulation event list algorithms
Communications of the ACM
Dynamic structures in modeling and simulation: a reflective approach
ACM Transactions on Modeling and Computer Simulation (TOMACS)
SDML: A Multi-Agent Language for Organizational Modelling
Computational & Mathematical Organization Theory
COPASI---a COmplex PAthway SImulator
Bioinformatics
ANSS '07 Proceedings of the 40th Annual Simulation Symposium
DEUS: a discrete event universal simulator
Proceedings of the 2nd International Conference on Simulation Tools and Techniques
Design considerations for M&S software
Winter Simulation Conference
Experimental analysis of logical process simulation algorithms in JAMES II
Winter Simulation Conference
A generic adaptive simulation algorithm for component-based simulation systems
Proceedings of the 2013 ACM SIGSIM conference on Principles of advanced discrete simulation
SESSL: A domain-specific language for simulation experiments
ACM Transactions on Modeling and Computer Simulation (TOMACS)
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Simulation studies typically imply the generation and interpretation of data. Collecting, storing, and filtering data can be expensive. Therefore, it is important to allow a user to specify these processes flexibly depending on the modeling language, the model, and the objective of the simulation study. An instrumentation language is presented and applied to collect, aggregate, store, and filter data generated during experimentation with models specified in ML-Rules, a rule-based multilevel modeling language for cell biological systems.