Abstract—Queueing research has a plethora of applications and has been an area of study spanning from telecommunications to economics. Traditionally, studies on queueing has mainly concentrated on design, performance and running of the service facility with customers arriving following a stochastic process. In this paper we take an agent based modeling approach to develop a behavioral model of a queueing system using Cellular Automata (CA). We study how adaptive expectation along with a simple information network (as defined by the CA) affects decision-making behavior among agents (customers).
Index Terms—Agent based modeling, adaptive expectations, cellular automata, queueing.
K. Sankaranarayanan and E. R. Larsen are with the Institute of Management, University of Lugano, Switzerland. (e-mail: karthik.sankaranarayanan@usi.ch; erik.larsen@usi.ch).
C. A. Delgado and A. V. Ackere are with the HEC Lausanne, University of Lausanne, Switzerland. (e-mail: carlos.delgado@unil.ch; ann.vanackere@unil.ch).
Cite: Karthik Sankaranarayanan, Carlos Arturo Delgado-Alvarez, Erik R. Larsen, and Ann van Ackere, "Behavioral Queueing: An Agent Based Modeling Approach," International Journal of Modeling and Optimization vol. 2, no. 4, pp. 408-412, 2012.
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