Patches As Agents
Name
zheng-winniez-meng-eecs-2023-thesis.pdf
Description
Thesis PDF
Size
6.1 MB
Format
Adobe PDF
Checksum (MD5)
4d09c5df6b0fba9c5f742119df774a56
Author(s)
Zheng, Winnie
Advisor(s)
Klopfer, Eric
Date Issued
September 2023
Publisher
Massachusetts Institute of Technology
Abstract
StarLogo Nova is a powerful agent-based game and simulation programming environment designed for classroom learning. This modeling tool allows students to apply their creativity and replicate real-world phenomena through game-like coding and scientific knowledge. However, the current agent-to-environment interaction is limited, with the environment(terrain) possibly affected by the agent’s action, but unable to initiate actions autonomously. This thesis proposes an innovative approach to Star- Logo Nova by transforming the static environment into a dynamic structure made of thousands of patch agents. In this new framework, the traditional static terrain is now composed of a collection of independent patch agents, each with its own behaviors and traits. This transformation enables the patch agents to actively interact with each other and the surrounding agents, expanding potential for a more complex and responsive simulation.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
In Copyright - Educational Use Permitted
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