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Applying Internal Knowledge to Model Verificaiton in an Agent Based Simulation

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  • Fri, 11/10/2017 - 10:00am - 11:30am




Applying Internal Knowledge to Model Verification in an Agent Based Simulation

MSc Thesis Proposal by:

John Penn

Date:  Friday, November 10th, 2017
Time:  10:00 am – 11:30 am
Location: 3105, Lambton Tower

Abstract: Agent based systems are commonly used as decision support systems. In decision support systems it is important to avoid creating situations that mislead decision makers.  The objective of this thesis is to add a verification system based on knowledge to reduce undesired effects from occurring in an agent based simulation.  We propose a verification based system that uses internal knowledge to modify the simulation.  From this we will measure the impact of the knowledge based framework on the actions of the agents and the overall impact on the simulation.

Thesis Committee:
Internal Reader: Dr. Robert Kent
External Reader: Dr. Kemal Tepe
Advisor: Dr. Ziad Kobti



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