Agent-based simulation : canteen

• Main Author: Ang, Yew Kian
• Other Authors: Cai Wentong
• Format: Final Year Project
• Language: English
• Published: 2012
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
• Online Access: http://hdl.handle.net/10356/48470
• Institution: Nanyang Technological University

The aim of this project is to model an agent-based simulation which could accurately mimic the actual canteen environment of Nanyang Technology University, Food Connection. Modelling the simulated environment and agents depend strongly on what could be observed in the actual canteen. Purpose of this project is to be able to create a simulation model suited for use in determining certain possible behaviour or situations of the actual environment. If the model is close to the actual environment, then the result yielded could be beneficent to the user whom will be using this. The simulation is developed using NTU-DSTA Crowd Simulation for Military Operations, COSMOS. Designs and Development is based on Recognition Primed Decision (RPD) model which the agent would respond based on certain circumstances within the environment. Data Structures, with Experiences defined, helps in the perception of the agents on how it should react to its environment.