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Agent-based modelling of synthetic financial transaction sequences
In this Mitacs project, we turn to agent-based modelling as an approach to model the complex behaviour of an individual’s financial transaction history. Agents are given a set of behaviours, such as habits, relationships, occupation, and daily patterns, and then act in a simulated environment to fulfill those behaviours. Our agent-based modelling will simulate the behaviour of individuals to create a realistic history of their financial banking transactions.
Faculty Supervisor:
Terrence Tricco
Student:
Partner:
NASDAQ Canada Inc
Discipline:
Computer science
Sector:
Finance and Insurance
University:
Memorial University of Newfoundland
Program:
Accelerate
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