International Congress on Agent Computing
“explosive growth of agent modeling over the past two decades in the social sciences, in business and government, and related areas, and offer a tour d’horizon of its present state and myriad applications. Looking forward, we will identify challenges and opportunities — Hilbert Problems, if you will — to shape the future of agent-based computational modeling.”
Joshua Epstein and Robert Axtell presenting their works. |
Abstract:
While great advances in modeling have been made, one of the greatest challenges we face is that of understanding human behavior and how people perceive and behave in physical spaces. Can new sources of data (i.e. “big data”) be used to explore the connections between people and places? In this paper we will review of the current state of art of modeling geographical systems. We highlight the challenges and opportunities through a series of examples that new data can be used to better understand and simulate how individuals behave within geographical systems.
Key Words: Agent-based Modeling, Geographical Information Science, Networks, Cities, Geographical Systems.
Reference:
Heppenstall, A., Crooks A.T. and Malleson, N. (2016), ABM for Simulating Spatial Systems: How are we doing? International Congress on Agent Computing, 29th-30th, November, Fairfax, VA.
The Growth of Geographical ABM (selected examples). |