Agent based simulation using graph processing frameworks
Agent-Based Simulations have become a powerful tool for modeling complex systems with interacting agents, especially in the fields of Economics, Biology, and the Social Sciences. However, a key limitation of Agent-Based Simulation frameworks used today, is its inefficiency in handling large-scale...
Main Author: | Ang, Anson Wai Kit |
---|---|
Other Authors: | Cai Wentong |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181060 |
Similar Items
-
Semantic agent framework for automated flood assessment using dynamic knowledge graphs
by: Hofmeister, Markus, et al.
Published: (2024) -
An agent composition framework for the J-Park simulator - a knowledge graph for the process industry
by: Zhou, Xiaochi, et al.
Published: (2021) -
Agent-based simulation : canteen
by: Ang, Yew Kian
Published: (2012) -
Modelling slum dynamics using an integrated agent based simulation framework
by: Roy, Debraj
Published: (2017) -
Creation of meta-model for agent-based simulation using machine learning approach
by: Agarwal, Samarth
Published: (2024)