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An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China
Research article (Cities, 2018) · cited 34× · AI/ML
An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China
Summary
An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China is a scholarly article[1].
Key Facts
An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-agent-based-procedure-with-an-embedded-agent-learning-model-for-residential-land-growth-simulation-the-case-study-of-
MLA“An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-agent-based-procedure-with-an-embedded-agent-learning-model-for-residential-land-growth-simulation-the-case-study-of-.
BibTeX@misc{4ortxyz_an-agent-based-procedure-with-an-embedded-agent-learning-model-for-residential-land-growth-simulation-the-case-study-of-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China}}, year = {2026}, url = {https://4ort.xyz/entity/an-agent-based-procedure-with-an-embedded-agent-learning-model-for-residential-land-growth-simulation-the-case-study-of-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An agent-based procedure with an embedded agent learning model for residential land growth simulation: The case study of Nanjing, China — https://4ort.xyz/entity/an-agent-based-procedure-with-an-embedded-agent-learning-model-for-residential-land-growth-simulation-the-case-study-of- (retrieved 2026-05-24)
