2026-09-19T22:38:27Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1526632023-11-03T03:03:32Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Klopfer, Eric
Zheng, Winnie
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2023-11-02T20:06:45Z
2023-11-02T20:06:45Z
2023-09
2023-10-03T18:21:17.056Z
https://hdl.handle.net/1721.1/152663
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.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Patches As Agents
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="eca7c997-9ed0-4564-bd2d-e91b5da47ce9">
<Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type>
<Title>Patches As Agents</Title>
<PublishedIn>
<Publication>
</Publication>
</PublishedIn>
<PublicationDate>2023-09</PublicationDate>
<Authors>
<Author>
<DisplayName>Zheng, Winnie</DisplayName>
<Affiliation>
<OrgUnit>
</OrgUnit>
</Affiliation>
</Author>
</Authors>
<Editors>
</Editors>
<Publishers>
<Publisher>
<DisplayName>Massachusetts Institute of Technology</DisplayName>
<OrgUnit />
</Publisher>
</Publishers>
<License>https://rightsstatements.org/page/InC-EDU/1.0/</License>
<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.</Abstract>
<Access xmlns="http://purl.org/coar/access_right"
>
</Access>
</Publication>