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HUMAN BEHAVIOUR MODELLING FOR DISCRETE EVENT AND AGENT BASED SIMULATION: A CASE STUDY
 

Summary: HUMAN BEHAVIOUR MODELLING FOR DISCRETE EVENT
AND AGENT BASED SIMULATION: A CASE STUDY
Mazlina Abdul Majid, Uwe Aickelin, Peer-Olaf Siebers
School of Computer Science & Information Technology
University of Nottingham, Nottingham, UK
Email: {mva,uxa,pos}@cs.nott.ac.uk
Abstract
This study is about the comparison of simulation techniques between Discrete Event
Simulation (DES) and Agent Based Simulation (ABS). DES is one of the best-known
types of simulation techniques in Operational Research. Recently, there has been an
emergence of another technique, namely ABS. One of the qualities of ABS is that it
helps to gain a better understanding of complex systems that involve the interaction of
people with their environment as it allows to model concepts like autonomy and pro-
activeness which are important attributes to consider. Although there is a lot of literature
relating to DES and ABS, we have found none that focuses on exploring the capability of
both in tackling the human behaviour issues which relates to queuing time and customer
satisfaction in the retail sector. Therefore, the objective of this study is to identify
empirically the differences between these simulation techniques by stimulating the
potential economic benefits of introducing new policies in a department store. To apply
the new strategy, the behaviour of consumers in a retail store will be modelled using the

  

Source: Aickelin, Uwe - School of Computer Science, University of Nottingham

 

Collections: Computer Technologies and Information Sciences