Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/48470
Title: Agent-based simulation : canteen
Authors: Ang, Yew Kian
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Issue Date: 2012
Abstract: 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.
URI: http://hdl.handle.net/10356/48470
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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