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Agent-Based Approach to Customers' Flow Modelling

Agent-Based Approach to Customers' Flow Modelling
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Copyright: 2019
Pages: 24
Source title: Burstiness Management for Smart, Sustainable and Inclusive Growth: Emerging Research and Opportunities
Source Author(s)/Editor(s): Andreas Ahrens (Hochschule Wismar, Germany), Ojaras Purvinis (Kaunas University of Technology, Lithuania), Jeļena Zaščerinska (Centre for Education and Innovation Research, Latvia), Diana Micevičienė (Kaunas University of Technology, Lithuania) and Arūnas Tautkus (Kaunas University of Technology, Lithuania)
DOI: 10.4018/978-1-5225-5442-4.ch004

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Abstract

Agents are relatively autonomous computational objects. They can slightly differ in values of their properties, called attributes, and can as well have different number of quite different properties. Agents exchange messages and carry out activities influencing other agents and environment. Agent activities are defined by its own rules that can be static or dynamic. Simulation of various phenomena using agents are called agent-based modelling (ABM). ABM enables observation and investigation of processes that are complicated to be modelled by other modelling means. The purpose of this chapter is to demonstrate the agent-based approach for modelling and analyzing agents-customers flow to shops or service places. Each agent randomly with defined probability decides if the service is to be booked or not. Flow of customers is modelled by another kind of single agent environment. This real-world process modelling by means of agents enables to collect statistics and to compare outcomes with similar analytical results.

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