Glenn Matthews
Papers
1
Total Citations
36
H-Index
1
About
Glenn Matthews is a researcher whose work lies at the intersection of agent-based modeling and parallel discrete event simulation (PDES). His key contributions address a critical gap: adapting the efficiency of PDES systems to the unique demands of agent-based applications, which often require flexible, autonomous entity interactions. Matthews’ most cited work, "SASSY: A Design for a Scalable Agent-Based Simulation System using a Distributed Discrete Event Infrastructure" (2006, 36 citations), introduces a foundational architecture that bridges these domains. By proposing a scalable framework, he demonstrated how agent-based simulations could leverage distributed computing without sacrificing the dynamic, decentralized behavior central to agents. This contribution remains influential for researchers tackling large-scale simulations in fields like social science, epidemiology, and logistics. Matthews’ work is notable for its practical design focus, offering a blueprint that balances theoretical rigor with real-world scalability. His research continues to inspire efforts to make complex, agent-driven systems computationally tractable, marking him as a thoughtful innovator in simulation methodology.
Research Focus
Key Achievements
Top Papers
- 1