Keynote Speaker

****2017 KEYNOTE****


Deputy Dean Research & Graduate Studies
Faculty of Computer Systems & Software Engineering
Universiti Malaysia Pahang
Lebuhraya Tun Razak, 26300 Gambang
Kuantan, Pahang Darul Makmur.  | MALAYSIA
Off : +609 (5492205) | Hp : +6016(9455363) | Fax : +609(5492144)




Agent Based and Discrete Event Simulation in

Modelling Realistic Human Behaviours

Simulation appears to be the preferred choice as a modelling and simulating tool for investigating human behaviour. This is because the diversity of human behaviours is more accurately depicted by the use of simulation. Throughout the literature, the best-known simulation techniques for modelling and simulating human behaviour are DES and ABS. DES models represent a system based on a series of chronological sequences of events where each event changes the system’s state in discrete time. ABS models comprise a number of autonomous, responsive and interactive agents which cooperate, coordinate and negotiate among one another to achieve their objectives. DES and ABS are capable of dealing with individual elements such as individual behaviour which located at low abstraction level (greater detail of the problem under investigation). However, it is impossible to model certain human behaviour such as human queuing using purely ABS. Meanwhile, DES is found suitable to model human queue and priority sorting due to its event scheduler structure. Therefore, combining DES inside ABS is significant in modelling the diversity of human behaviours as realistic as possible such as modelling human traffic flow. Human traffic flow modelling is important for construction or redesign projects such as shopping centers, airport or railways stations. Simulation analyses can be used by architects in the design stage or by civil authorities to simulate evacuations for a good design of buildings and pathway projects.