Modelling A Complex Human Centre Queuing System for Enhancing The Capability of Agent Based Simulation

Mazlina, Abdul Majid and Kamal Z., Zamli and Fakhreldin, Mohammed Adam Ibrahim (2015) Modelling A Complex Human Centre Queuing System for Enhancing The Capability of Agent Based Simulation. In: International Conference on Data Engineering (DAENG2015) , 25-26 April 2015 , Bali, Indonesia. .

PDF Modelling A Complex Human Centre Queuing System For Enhancing The Capability Of Agent Based Simulation.pdf Restricted to Repository staff only Download (168kB) | Request a copy

Abstract

Agent Based Simulation (ABS) is a simulation technique that emerged after Discrete Event Simulation (DES). The design of ABS is based on artificial intelligence using the concept of robotics and multi-agent systems (MAS). The agent based model consists of a set of interacting active objects that reflect objects and relationships in the real world. Technically, every agent has its own thread of execution to represent its own histories, intentions, desires, individual properties, and complex relationships. ABS is found suitable to model people centric systems as compared to traditional DES. People centric systems are systems that involve with many human interactions and where the actors work with some degree of autonomy. However due to the MAS structure, agents in ABS are decentralized. As such, modeling people centric system’s features such as people queuing in ABS is found difficult. Addressing the aforementioned issue, we propose to enhance the capability of ABS for modelling human centric queuing system by combining DES approach in ABS model called hybrid ABS/DES model.

Item Type:	Conference or Workshop Item (Speech)
Uncontrolled Keywords:	Agent Based Simulation, Human Queuing System, Discrete Event Simulation, Hybrid Simulation
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Mrs. Neng Sury Sulaiman
Date Deposited:	09 Oct 2015 08:19
Last Modified:	16 Jan 2018 01:25
URI:	http://umpir.ump.edu.my/id/eprint/10706
Download Statistic:	View Download Statistics

Actions (login required)

View Item