@article {1450,
	title = {Queuing systems in a feedback environment: Continuous versus discrete-event simulation},
	journal = {Journal of Simulation},
	volume = {12},
	year = {2018},
	pages = {144-161},
	abstract = {<p>AbstractThe discrete stochastic nature of typical queuing problems calls for discrete-event simulation, rather than continuous simulation that would ignore the discrete details that may be important in queuing dynamics. However, continuous simulation can perhaps be suitable for certain large queuing systems that involve feedback interactions and time delays. This study examines this question by a series of simulation experiments with queuing systems. We start with an M/M/2 system with state-dependent arrivals. Since continuous simulation represents the system states by continuous variables, when these variables (number of entities) revolve around small integer values, discrete and continuous simulation approaches exhibit significant differences in their output dynamics. However, when the system scale is increased (many servers, many entities), errors caused by continuity assumption drop significantly and the two simulation approaches yield much closer outputs. Finally, when a delay is introduced before the state of the system influences the arrival rates, the system behaviour becomes oscillatory, involving even sustained oscillations when the delay is discrete. We show that in such settings, continuous simulation can be superior to discrete simulation, since the system exhibits far-from-equilibrium dynamics driven by the endogenous system structure, rather than by discrete stochastic events. Our results have various real-life modelling implications.</p>},
	doi = {10.1080/17477778.2018.1465153},
	url = {https://doi.org/10.1080/17477778.2018.1465153},
	author = {Yaman Barlas and Onur {\"O}zg{\"u}n}
}
@article {._zba__2014,
	title = {Modeling and Simulation of the Endogenous Dynamics of Housing Market Cycles},
	journal = {Journal of Artificial Societies and Social Simulation},
	volume = {17},
	number = {1},
	year = {2014},
	pages = {19},
	abstract = {<p>The purpose of this study is to model and analyze by simulation the dynamics of endogenously created oscillations in real estate (housing) prices. A system dynamics simulation model is built to understand some of the structural sources of cycles in the key housing market variables, from the perspective of construction companies. The model focuses on the economic balance dynamics between supply and demand. Because of the unavoidable delays in the perception of the real estate market conditions and construction of new buildings, prices and related market variables exhibit strong oscillations. Two policies are tested to reduce the oscillations: decreasing the construction time, and taking into account the houses under construction in starting new projects. Both policies yield significantly reduced oscillations, more stable behaviors.</p>},
	keywords = {Housing Cycles, Price Oscillations, Real Estate Modeling, Socio-Economic Simulation, System Dynamics},
	issn = {1460-7425},
	url = {http://jasss.soc.surrey.ac.uk/17/1/19.html},
	author = {Birnur {\"O}zba{\c s} and Onur {\"O}zg{\"u}n and Yaman Barlas}
}
@proceedings {ozgun,
	title = {Effects of Delay, Nonlinearity and Feedback on the Overall Complexity of a Stock Management Game},
	journal = {30th International Conference of the System Dynamics Society},
	year = {2012},
	author = {Onur {\"O}zg{\"u}n and Yaman Barlas}
}
@proceedings {ozgun,
	title = {Systemic Complexity of a Growth Management Game: Comparative Analysis of Decision Heuristics and Experimental Results},
	journal = {30th International Conference of the System Dynamics Society},
	year = {2012},
	author = {Onur {\"O}zg{\"u}n and Yaman Barlas}
}
